Overview

Brought to you by YData

Dataset statistics

Number of variables 92
Number of observations 500000
Missing cells 1338299
Missing cells (%) 2.9%
Total size in memory 168.3 MiB
Average record size in memory 353.0 B

Variable types

Numeric 92

Alerts

feature_00 has 71983 (14.4%) missing values Missing
feature_01 has 71983 (14.4%) missing values Missing
feature_02 has 71983 (14.4%) missing values Missing
feature_03 has 71983 (14.4%) missing values Missing
feature_04 has 71983 (14.4%) missing values Missing
feature_15 has 12955 (2.6%) missing values Missing
feature_21 has 157351 (31.5%) missing values Missing
feature_26 has 157351 (31.5%) missing values Missing
feature_27 has 157351 (31.5%) missing values Missing
feature_31 has 157351 (31.5%) missing values Missing
feature_32 has 5204 (1.0%) missing values Missing
feature_33 has 5204 (1.0%) missing values Missing
feature_39 has 52194 (10.4%) missing values Missing
feature_41 has 13201 (2.6%) missing values Missing
feature_42 has 52194 (10.4%) missing values Missing
feature_44 has 13201 (2.6%) missing values Missing
feature_45 has 6620 (1.3%) missing values Missing
feature_46 has 6620 (1.3%) missing values Missing
feature_50 has 51085 (10.2%) missing values Missing
feature_52 has 12079 (2.4%) missing values Missing
feature_53 has 51085 (10.2%) missing values Missing
feature_55 has 12079 (2.4%) missing values Missing
feature_58 has 5204 (1.0%) missing values Missing
feature_62 has 6238 (1.2%) missing values Missing
feature_64 has 5194 (1.0%) missing values Missing
feature_65 has 6620 (1.3%) missing values Missing
feature_66 has 6620 (1.3%) missing values Missing
feature_73 has 5250 (1.1%) missing values Missing
feature_74 has 5250 (1.1%) missing values Missing
feature_21 is highly skewed (γ1 = 145.0280457) Skewed
feature_31 is highly skewed (γ1 = 128.129303) Skewed
feature_47 is highly skewed (γ1 = 36.766922) Skewed
feature_62 is highly skewed (γ1 = 29.97069931) Skewed
feature_63 is highly skewed (γ1 = 32.19271851) Skewed
feature_64 is highly skewed (γ1 = 36.0602684) Skewed
symbol_id has 17684 (3.5%) zeros Zeros

Reproduction

Analysis started 2024-12-02 19:40:13.059616
Analysis finished 2024-12-02 19:40:42.569539
Duration 29.51 seconds
Software version ydata-profiling vv4.12.0
Download configuration config.json

Variables

date_id
Real number (ℝ)

Distinct 1699
Distinct (%) 0.3%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 851.614858
Minimum 0
Maximum 1698
Zeros 174
Zeros (%) < 0.1%
Negative 0
Negative (%) 0.0%
Memory size 976.7 KiB
2024-12-02T16:40:42.853265 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 0
5-th percentile 99
Q1 431
median 849.5
Q3 1276
95-th percentile 1614
Maximum 1698
Range 1698
Interquartile range (IQR) 845

Descriptive statistics

Standard deviation 488.8880536
Coefficient of variation (CV) 0.5740717755
Kurtosis -1.206497439
Mean 851.614858
Median Absolute Deviation (MAD) 422.5
Skewness 0.005366905098
Sum 425807429
Variance 239011.529
Monotonicity Not monotonic
2024-12-02T16:40:43.053395 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
103 442
 
0.1%
142 439
 
0.1%
490 439
 
0.1%
168 429
 
0.1%
148 423
 
0.1%
488 421
 
0.1%
169 420
 
0.1%
153 419
 
0.1%
151 419
 
0.1%
495 416
 
0.1%
Other values (1689) 495733
99.1%
Value Count Frequency (%)
0 174
< 0.1%
1 277
0.1%
2 242
< 0.1%
3 234
< 0.1%
4 257
0.1%
Value Count Frequency (%)
1698 289
0.1%
1697 336
0.1%
1696 301
0.1%
1695 274
0.1%
1694 304
0.1%

time_id
Real number (ℝ)

Distinct 968
Distinct (%) 0.2%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 460.092498
Minimum 0
Maximum 967
Zeros 543
Zeros (%) 0.1%
Negative 0
Negative (%) 0.0%
Memory size 976.7 KiB
2024-12-02T16:40:43.170033 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 0
5-th percentile 45
Q1 229
median 459
Q3 688
95-th percentile 888
Maximum 967
Range 967
Interquartile range (IQR) 459

Descriptive statistics

Standard deviation 267.9480806
Coefficient of variation (CV) 0.5823787211
Kurtosis -1.15026877
Mean 460.092498
Median Absolute Deviation (MAD) 230
Skewness 0.03777387264
Sum 230046249
Variance 71796.17388
Monotonicity Not monotonic
2024-12-02T16:40:43.287888 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
386 628
 
0.1%
461 625
 
0.1%
132 613
 
0.1%
53 612
 
0.1%
321 611
 
0.1%
739 607
 
0.1%
122 606
 
0.1%
216 605
 
0.1%
664 604
 
0.1%
741 602
 
0.1%
Other values (958) 493887
98.8%
Value Count Frequency (%)
0 543
0.1%
1 593
0.1%
2 569
0.1%
3 572
0.1%
4 560
0.1%
Value Count Frequency (%)
967 316
0.1%
966 283
0.1%
965 310
0.1%
964 286
0.1%
963 299
0.1%

symbol_id
Real number (ℝ)

Zeros 

Distinct 39
Distinct (%) < 0.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 17.469562
Minimum 0
Maximum 38
Zeros 17684
Zeros (%) 3.5%
Negative 0
Negative (%) 0.0%
Memory size 488.4 KiB
2024-12-02T16:40:43.388299 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 0
5-th percentile 1
Q1 8
median 16
Q3 27
95-th percentile 37
Maximum 38
Range 38
Interquartile range (IQR) 19

Descriptive statistics

Standard deviation 11.32602711
Coefficient of variation (CV) 0.6483291974
Kurtosis -1.102102508
Mean 17.469562
Median Absolute Deviation (MAD) 9
Skewness 0.2455179073
Sum 8734781
Variance 128.2788901
Monotonicity Not monotonic
2024-12-02T16:40:43.498345 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
Value Count Frequency (%)
7 18735
 
3.7%
1 18686
 
3.7%
19 18663
 
3.7%
16 18635
 
3.7%
9 18303
 
3.7%
33 17917
 
3.6%
38 17779
 
3.6%
13 17773
 
3.6%
10 17751
 
3.6%
0 17684
 
3.5%
Other values (29) 318074
63.6%
Value Count Frequency (%)
0 17684
3.5%
1 18686
3.7%
2 16846
3.4%
3 16456
3.3%
4 5545
 
1.1%
Value Count Frequency (%)
38 17779
3.6%
37 7976
1.6%
36 10399
2.1%
35 7762
1.6%
34 16936
3.4%

weight
Real number (ℝ)

Distinct 50332
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 1.960664972
Minimum 0.1499666572
Maximum 10.24041939
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 1.9 MiB
2024-12-02T16:40:43.618853 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 0.1499666572
5-th percentile 0.6712245941
Q1 1.178062916
median 1.708217621
Q3 2.444993496
95-th percentile 4.209181786
Maximum 10.24041939
Range 10.09045315
Interquartile range (IQR) 1.26693058

Descriptive statistics

Standard deviation 1.111250162
Coefficient of variation (CV) 0.5667720788
Kurtosis 2.620919704
Mean 1.960664972
Median Absolute Deviation (MAD) 0.6039879322
Skewness 1.410169721
Sum 980332.4861
Variance 1.23487699
Monotonicity Not monotonic
2024-12-02T16:40:43.735106 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.298114657 42
 
< 0.1%
1.636825919 38
 
< 0.1%
2.113631964 38
 
< 0.1%
1.89863658 37
 
< 0.1%
1.3822124 37
 
< 0.1%
0.9277486801 36
 
< 0.1%
1.072816133 36
 
< 0.1%
3.64841485 36
 
< 0.1%
1.94447279 36
 
< 0.1%
1.454496145 35
 
< 0.1%
Other values (50322) 499629
99.9%
Value Count Frequency (%)
0.1499666572 16
< 0.1%
0.1649402231 17
< 0.1%
0.1702164114 10
< 0.1%
0.1710485965 14
< 0.1%
0.1783781201 15
< 0.1%
Value Count Frequency (%)
10.24041939 6
< 0.1%
9.30974102 14
< 0.1%
9.096992493 6
< 0.1%
9.046761513 10
< 0.1%
9.02631855 12
< 0.1%

feature_00
Real number (ℝ)

Missing 

Distinct 426787
Distinct (%) 99.7%
Missing 71983
Missing (%) 14.4%
Infinite 0
Infinite (%) 0.0%
Mean 0.5143505211
Minimum -4.027960777
Maximum 6.29824543
Zeros 0
Zeros (%) 0.0%
Negative 157207
Negative (%) 31.4%
Memory size 1.9 MiB
2024-12-02T16:40:43.847379 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.027960777
5-th percentile -1.374325991
Q1 -0.356798321
median 0.37666592
Q3 1.204936504
95-th percentile 3.071405983
Maximum 6.29824543
Range 10.32620621
Interquartile range (IQR) 1.561734825

Descriptive statistics

Standard deviation 1.292990685
Coefficient of variation (CV) 2.513831777
Kurtosis 0.3741793931
Mean 0.5143505211
Median Absolute Deviation (MAD) 0.7754437327
Skewness 0.5191020966
Sum 220150.767
Variance 1.671825051
Monotonicity Not monotonic
2024-12-02T16:40:43.957503 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.306874037 3
 
< 0.1%
1.046288848 3
 
< 0.1%
1.812690735 3
 
< 0.1%
1.116365075 3
 
< 0.1%
2.071128845 2
 
< 0.1%
-0.1827727556 2
 
< 0.1%
-0.1024781242 2
 
< 0.1%
1.006433606 2
 
< 0.1%
-0.5405323505 2
 
< 0.1%
0.8210772872 2
 
< 0.1%
Other values (426777) 427993
85.6%
(Missing) 71983
 
14.4%
Value Count Frequency (%)
-4.027960777 1
< 0.1%
-3.876621962 1
< 0.1%
-3.850051165 1
< 0.1%
-3.831265688 1
< 0.1%
-3.785490513 1
< 0.1%
Value Count Frequency (%)
6.29824543 1
< 0.1%
6.180996895 1
< 0.1%
6.103096962 1
< 0.1%
6.079453945 1
< 0.1%
6.027677059 1
< 0.1%

feature_01
Real number (ℝ)

Missing 

Distinct 426787
Distinct (%) 99.7%
Missing 71983
Missing (%) 14.4%
Infinite 0
Infinite (%) 0.0%
Mean 0.01099321618
Minimum -4.95379734
Maximum 5.788263798
Zeros 0
Zeros (%) 0.0%
Negative 212730
Negative (%) 42.5%
Memory size 1.9 MiB
2024-12-02T16:40:44.076627 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.95379734
5-th percentile -1.742198706
Q1 -0.7075226903
median 0.0079821283
Q3 0.7185850739
95-th percentile 1.783579373
Maximum 5.788263798
Range 10.74206161
Interquartile range (IQR) 1.426107764

Descriptive statistics

Standard deviation 1.068956971
Coefficient of variation (CV) 97.23787415
Kurtosis 0.08595333993
Mean 0.01099321618
Median Absolute Deviation (MAD) 0.7130215764
Skewness 0.06030084193
Sum 4705.283409
Variance 1.142668962
Monotonicity Not monotonic
2024-12-02T16:40:44.191652 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.273985744 3
 
< 0.1%
-0.7741184831 3
 
< 0.1%
1.180573463 3
 
< 0.1%
-1.478413224 2
 
< 0.1%
-0.3886455894 2
 
< 0.1%
0.5142742991 2
 
< 0.1%
0.6167247891 2
 
< 0.1%
-0.5089092851 2
 
< 0.1%
-1.108892679 2
 
< 0.1%
-1.495560527 2
 
< 0.1%
Other values (426777) 427994
85.6%
(Missing) 71983
 
14.4%
Value Count Frequency (%)
-4.95379734 1
< 0.1%
-4.339889526 1
< 0.1%
-4.092728615 1
< 0.1%
-3.98251605 1
< 0.1%
-3.962264061 1
< 0.1%
Value Count Frequency (%)
5.788263798 1
< 0.1%
5.737267017 1
< 0.1%
5.709218502 1
< 0.1%
5.623497963 1
< 0.1%
5.606583118 1
< 0.1%

feature_02
Real number (ℝ)

Missing 

Distinct 426780
Distinct (%) 99.7%
Missing 71983
Missing (%) 14.4%
Infinite 0
Infinite (%) 0.0%
Mean 0.5138689462
Minimum -4.104443073
Maximum 6.24358511
Zeros 0
Zeros (%) 0.0%
Negative 157195
Negative (%) 31.4%
Memory size 1.9 MiB
2024-12-02T16:40:44.304234 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.104443073
5-th percentile -1.377088976
Q1 -0.3545084596
median 0.3792856932
Q3 1.206334114
95-th percentile 3.069694281
Maximum 6.24358511
Range 10.34802818
Interquartile range (IQR) 1.560842574

Descriptive statistics

Standard deviation 1.289016366
Coefficient of variation (CV) 2.508453518
Kurtosis 0.3311936557
Mean 0.5138689462
Median Absolute Deviation (MAD) 0.7737858295
Skewness 0.5029591918
Sum 219944.6447
Variance 1.661563277
Monotonicity Not monotonic
2024-12-02T16:40:44.419111 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.9458318353 3
 
< 0.1%
1.263787389 3
 
< 0.1%
-0.718316257 3
 
< 0.1%
1.91736722 3
 
< 0.1%
3.101203203 3
 
< 0.1%
0.8254628778 2
 
< 0.1%
0.265262574 2
 
< 0.1%
0.8544664383 2
 
< 0.1%
-0.9142000675 2
 
< 0.1%
-0.817559123 2
 
< 0.1%
Other values (426770) 427992
85.6%
(Missing) 71983
 
14.4%
Value Count Frequency (%)
-4.104443073 1
< 0.1%
-4.027413845 1
< 0.1%
-4.007788181 1
< 0.1%
-3.946143627 1
< 0.1%
-3.901408434 1
< 0.1%
Value Count Frequency (%)
6.24358511 1
< 0.1%
6.229772568 1
< 0.1%
6.186851501 1
< 0.1%
6.135706902 1
< 0.1%
6.016420364 1
< 0.1%

feature_03
Real number (ℝ)

Missing 

Distinct 426803
Distinct (%) 99.7%
Missing 71983
Missing (%) 14.4%
Infinite 0
Infinite (%) 0.0%
Mean 0.5128889442
Minimum -3.834913731
Maximum 6.037524223
Zeros 0
Zeros (%) 0.0%
Negative 156956
Negative (%) 31.4%
Memory size 1.9 MiB
2024-12-02T16:40:44.531639 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.834913731
5-th percentile -1.374493241
Q1 -0.355948329
median 0.3783840239
Q3 1.202622652
95-th percentile 3.065961647
Maximum 6.037524223
Range 9.872438431
Interquartile range (IQR) 1.558570981

Descriptive statistics

Standard deviation 1.288078189
Coefficient of variation (CV) 2.511417342
Kurtosis 0.3312124312
Mean 0.5128889442
Median Absolute Deviation (MAD) 0.7738792896
Skewness 0.5060821772
Sum 219525.1872
Variance 1.659145474
Monotonicity Not monotonic
2024-12-02T16:40:44.646688 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.084695578 3
 
< 0.1%
1.017740011 3
 
< 0.1%
-0.8533130288 2
 
< 0.1%
2.019462347 2
 
< 0.1%
-0.6616980433 2
 
< 0.1%
2.177239895 2
 
< 0.1%
2.608419895 2
 
< 0.1%
1.162454128 2
 
< 0.1%
0.5931357741 2
 
< 0.1%
0.8069880009 2
 
< 0.1%
Other values (426793) 427995
85.6%
(Missing) 71983
 
14.4%
Value Count Frequency (%)
-3.834913731 1
< 0.1%
-3.830494881 1
< 0.1%
-3.829175472 1
< 0.1%
-3.707444429 1
< 0.1%
-3.702487946 1
< 0.1%
Value Count Frequency (%)
6.037524223 1
< 0.1%
6.036049366 1
< 0.1%
6.024330139 1
< 0.1%
6.008624554 1
< 0.1%
6.005575657 1
< 0.1%

feature_04
Real number (ℝ)

Missing 

Distinct 426788
Distinct (%) 99.7%
Missing 71983
Missing (%) 14.4%
Infinite 0
Infinite (%) 0.0%
Mean -0.002538619331
Minimum -4.028398037
Maximum 5.178153038
Zeros 0
Zeros (%) 0.0%
Negative 214009
Negative (%) 42.8%
Memory size 1.9 MiB
2024-12-02T16:40:44.757416 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.028398037
5-th percentile -1.699718499
Q1 -0.7001829147
median -1.050437959 × 10-6
Q3 0.6916700006
95-th percentile 1.6886163
Maximum 5.178153038
Range 9.206550598
Interquartile range (IQR) 1.391852915

Descriptive statistics

Standard deviation 1.027053475
Coefficient of variation (CV) -404.5716752
Kurtosis -0.0634399429
Mean -0.002538619331
Median Absolute Deviation (MAD) 0.6956042647
Skewness 0.006733675022
Sum -1086.57223
Variance 1.054838896
Monotonicity Not monotonic
2024-12-02T16:40:44.867457 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.7085757852 3
 
< 0.1%
-1.044888854 3
 
< 0.1%
1.045586586 2
 
< 0.1%
0.227210924 2
 
< 0.1%
0.6545761824 2
 
< 0.1%
-0.460698694 2
 
< 0.1%
-0.2964743078 2
 
< 0.1%
1.234670877 2
 
< 0.1%
-0.7150412798 2
 
< 0.1%
-0.92761904 2
 
< 0.1%
Other values (426778) 427995
85.6%
(Missing) 71983
 
14.4%
Value Count Frequency (%)
-4.028398037 1
< 0.1%
-3.954566717 1
< 0.1%
-3.928369999 1
< 0.1%
-3.900930166 1
< 0.1%
-3.821546316 1
< 0.1%
Value Count Frequency (%)
5.178153038 1
< 0.1%
5.113750458 1
< 0.1%
5.033285141 1
< 0.1%
4.93446064 1
< 0.1%
4.049194813 1
< 0.1%

feature_05
Real number (ℝ)

Distinct 498611
Distinct (%) 99.7%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02931736664
Minimum -22.88653755
Maximum 33.27212524
Zeros 0
Zeros (%) 0.0%
Negative 268054
Negative (%) 53.6%
Memory size 1.9 MiB
2024-12-02T16:40:45.078231 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -22.88653755
5-th percentile -1.537078434
Q1 -0.4792390838
median -0.05140470155
Q3 0.3960026428
95-th percentile 1.531199753
Maximum 33.27212524
Range 56.15866089
Interquartile range (IQR) 0.8752417266

Descriptive statistics

Standard deviation 1.021513581
Coefficient of variation (CV) -34.8432925
Kurtosis 16.76696777
Mean -0.02931736664
Median Absolute Deviation (MAD) 0.4374519587
Skewness 0.7519537807
Sum -14658.68332
Variance 1.043490052
Monotonicity Not monotonic
2024-12-02T16:40:45.186570 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.091058731 3
 
< 0.1%
-0.7092113495 3
 
< 0.1%
-1.125069618 3
 
< 0.1%
0.2531273365 3
 
< 0.1%
-0.5027620196 3
 
< 0.1%
0.5990595222 3
 
< 0.1%
-0.555280447 2
 
< 0.1%
-0.5355728269 2
 
< 0.1%
0.1926413029 2
 
< 0.1%
-0.1708091199 2
 
< 0.1%
Other values (498601) 499974
> 99.9%
Value Count Frequency (%)
-22.88653755 1
< 0.1%
-16.71858597 1
< 0.1%
-14.38981915 1
< 0.1%
-13.98087597 1
< 0.1%
-12.87502003 1
< 0.1%
Value Count Frequency (%)
33.27212524 1
< 0.1%
27.52643394 1
< 0.1%
26.96796989 1
< 0.1%
21.25468063 1
< 0.1%
18.7526741 1
< 0.1%

feature_06
Real number (ℝ)

Distinct 498788
Distinct (%) 99.8%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.005391270695
Minimum -45.80796814
Maximum 59.52516937
Zeros 0
Zeros (%) 0.0%
Negative 254223
Negative (%) 50.8%
Memory size 1.9 MiB
2024-12-02T16:40:45.302772 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -45.80796814
5-th percentile -1.519357765
Q1 -0.4144058228
median -0.009589228779
Q3 0.3887362108
95-th percentile 1.512201923
Maximum 59.52516937
Range 105.3331375
Interquartile range (IQR) 0.8031420335

Descriptive statistics

Standard deviation 1.06464088
Coefficient of variation (CV) -197.4749442
Kurtosis 58.52645111
Mean -0.005391270695
Median Absolute Deviation (MAD) 0.4015316069
Skewness 0.8877423406
Sum -2695.635347
Variance 1.133460283
Monotonicity Not monotonic
2024-12-02T16:40:45.419394 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.4376793206 3
 
< 0.1%
0.5584185123 3
 
< 0.1%
-0.6522986889 3
 
< 0.1%
-0.9486219287 3
 
< 0.1%
0.3214613497 3
 
< 0.1%
-0.2477157116 2
 
< 0.1%
-0.06831935793 2
 
< 0.1%
-1.224068642 2
 
< 0.1%
0.2233670354 2
 
< 0.1%
-0.07652845234 2
 
< 0.1%
Other values (498778) 499975
> 99.9%
Value Count Frequency (%)
-45.80796814 1
< 0.1%
-33.60198593 1
< 0.1%
-21.9689579 1
< 0.1%
-19.37728882 1
< 0.1%
-18.60375786 1
< 0.1%
Value Count Frequency (%)
59.52516937 1
< 0.1%
33.97018433 1
< 0.1%
33.91213989 1
< 0.1%
33.3714447 1
< 0.1%
31.14043808 1
< 0.1%

feature_07
Real number (ℝ)

Distinct 498676
Distinct (%) 99.7%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01220043965
Minimum -25.7781868
Maximum 38.72456741
Zeros 0
Zeros (%) 0.0%
Negative 262096
Negative (%) 52.4%
Memory size 1.9 MiB
2024-12-02T16:40:45.527337 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -25.7781868
5-th percentile -1.504533726
Q1 -0.4517241418
median -0.0328365583
Q3 0.3929850832
95-th percentile 1.541143048
Maximum 38.72456741
Range 64.50275421
Interquartile range (IQR) 0.844709225

Descriptive statistics

Standard deviation 1.052913666
Coefficient of variation (CV) -86.30128877
Kurtosis 25.1889534
Mean -0.01220043965
Median Absolute Deviation (MAD) 0.4221583605
Skewness 0.8451272249
Sum -6100.219827
Variance 1.1086272
Monotonicity Not monotonic
2024-12-02T16:40:45.637469 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.4065608382 3
 
< 0.1%
-0.3539701104 3
 
< 0.1%
0.2717418969 3
 
< 0.1%
-0.1381030232 3
 
< 0.1%
-0.6293236613 3
 
< 0.1%
-0.4563544393 3
 
< 0.1%
-0.2019421756 2
 
< 0.1%
-0.5436936021 2
 
< 0.1%
-0.6150326133 2
 
< 0.1%
-0.1761882603 2
 
< 0.1%
Other values (498666) 499974
> 99.9%
Value Count Frequency (%)
-25.7781868 1
< 0.1%
-22.22236252 1
< 0.1%
-18.87301826 1
< 0.1%
-18.24794197 1
< 0.1%
-18.04802704 1
< 0.1%
Value Count Frequency (%)
38.72456741 1
< 0.1%
28.002388 1
< 0.1%
23.93115234 1
< 0.1%
23.7996788 1
< 0.1%
23.25530434 1
< 0.1%

feature_08
Real number (ℝ)

Distinct 495861
Distinct (%) 99.7%
Missing 2792
Missing (%) 0.6%
Infinite 0
Infinite (%) 0.0%
Mean 0.06070305264
Minimum -11.26286316
Maximum 16.80986214
Zeros 0
Zeros (%) 0.0%
Negative 231358
Negative (%) 46.3%
Memory size 1.9 MiB
2024-12-02T16:40:45.747609 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -11.26286316
5-th percentile -1.40949713
Q1 -0.403002955
median 0.05438027531
Q3 0.5277597457
95-th percentile 1.528044432
Maximum 16.80986214
Range 28.0727253
Interquartile range (IQR) 0.9307627007

Descriptive statistics

Standard deviation 0.9661880732
Coefficient of variation (CV) 15.91663073
Kurtosis 7.90033102
Mean 0.06070305264
Median Absolute Deviation (MAD) 0.4654441476
Skewness 0.09267733246
Sum 30182.0434
Variance 0.933519423
Monotonicity Not monotonic
2024-12-02T16:40:45.858050 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.096753716 3
 
< 0.1%
0.5464476347 3
 
< 0.1%
-0.2862653434 3
 
< 0.1%
0.3553050756 2
 
< 0.1%
0.2614515722 2
 
< 0.1%
1.684001327 2
 
< 0.1%
0.6430495977 2
 
< 0.1%
-0.8821539879 2
 
< 0.1%
-0.2599991858 2
 
< 0.1%
-1.060742378 2
 
< 0.1%
Other values (495851) 497185
99.4%
(Missing) 2792
 
0.6%
Value Count Frequency (%)
-11.26286316 1
< 0.1%
-11.11791039 1
< 0.1%
-10.98158932 1
< 0.1%
-10.70001507 1
< 0.1%
-10.48052025 1
< 0.1%
Value Count Frequency (%)
16.80986214 1
< 0.1%
16.61655807 1
< 0.1%
15.20121861 1
< 0.1%
15.12407494 1
< 0.1%
14.10107136 1
< 0.1%

feature_09
Real number (ℝ)

Distinct 22
Distinct (%) < 0.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 32.631468
Minimum 2
Maximum 82
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 488.4 KiB
2024-12-02T16:40:45.957558 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 2
5-th percentile 4
Q1 11
median 30
Q3 50
95-th percentile 81
Maximum 82
Range 80
Interquartile range (IQR) 39

Descriptive statistics

Standard deviation 24.10831223
Coefficient of variation (CV) 0.7388056287
Kurtosis -0.9325148649
Mean 32.631468
Median Absolute Deviation (MAD) 19
Skewness 0.5395898447
Sum 16315734
Variance 581.2107186
Monotonicity Not monotonic
2024-12-02T16:40:46.058355 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
Value Count Frequency (%)
11 116984
23.4%
42 35634
 
7.1%
50 35552
 
7.1%
4 35119
 
7.0%
81 32550
 
6.5%
15 29675
 
5.9%
34 26192
 
5.2%
9 22519
 
4.5%
44 22239
 
4.4%
57 20739
 
4.1%
Other values (12) 122797
24.6%
Value Count Frequency (%)
2 9843
 
2.0%
4 35119
 
7.0%
9 22519
 
4.5%
11 116984
23.4%
12 4835
 
1.0%
Value Count Frequency (%)
82 4332
 
0.9%
81 32550
6.5%
70 17632
3.5%
68 8575
 
1.7%
64 16837
3.4%

feature_10
Real number (ℝ)

Distinct 9
Distinct (%) < 0.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 4.831312
Minimum 1
Maximum 12
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 488.4 KiB
2024-12-02T16:40:46.157450 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 1
5-th percentile 1
Q1 3
median 4
Q3 7
95-th percentile 10
Maximum 12
Range 11
Interquartile range (IQR) 4

Descriptive statistics

Standard deviation 2.947804902
Coefficient of variation (CV) 0.6101458365
Kurtosis -0.5378333478
Mean 4.831312
Median Absolute Deviation (MAD) 3
Skewness 0.4763784851
Sum 2415656
Variance 8.689553738
Monotonicity Not monotonic
2024-12-02T16:40:46.237671 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
Value Count Frequency (%)
7 136571
27.3%
3 100977
20.2%
1 85966
17.2%
10 35722
 
7.1%
5 35634
 
7.1%
2 32550
 
6.5%
4 31027
 
6.2%
6 25412
 
5.1%
12 16141
 
3.2%
Value Count Frequency (%)
1 85966
17.2%
2 32550
 
6.5%
3 100977
20.2%
4 31027
 
6.2%
5 35634
 
7.1%
Value Count Frequency (%)
12 16141
 
3.2%
10 35722
 
7.1%
7 136571
27.3%
6 25412
 
5.1%
5 35634
 
7.1%

feature_11
Real number (ℝ)

Distinct 31
Distinct (%) < 0.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 171.915936
Minimum 9
Maximum 539
Zeros 0
Zeros (%) 0.0%
Negative 0
Negative (%) 0.0%
Memory size 976.7 KiB
2024-12-02T16:40:46.331647 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum 9
5-th percentile 11
Q1 59
median 76
Q3 261
95-th percentile 522
Maximum 539
Range 530
Interquartile range (IQR) 202

Descriptive statistics

Standard deviation 166.5809231
Coefficient of variation (CV) 0.9689673163
Kurtosis -0.2084034923
Mean 171.915936
Median Absolute Deviation (MAD) 65
Skewness 1.060647913
Sum 85957968
Variance 27749.20395
Monotonicity Not monotonic
2024-12-02T16:40:46.438409 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
Value Count Frequency (%)
76 116984
23.4%
150 35634
 
7.1%
522 35552
 
7.1%
11 35119
 
7.0%
214 26192
 
5.2%
25 22519
 
4.5%
410 17632
 
3.5%
59 16846
 
3.4%
376 16837
 
3.4%
261 16768
 
3.4%
Other values (21) 159917
32.0%
Value Count Frequency (%)
9 5545
 
1.1%
11 35119
7.0%
13 10370
 
2.1%
16 16363
3.3%
24 5876
 
1.2%
Value Count Frequency (%)
539 4332
 
0.9%
534 15704
3.1%
522 35552
7.1%
410 17632
3.5%
388 8575
 
1.7%

feature_12
Real number (ℝ)

Distinct 497613
Distinct (%) 99.5%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02723356341
Minimum -1.662664652
Maximum 90.77062225
Zeros 0
Zeros (%) 0.0%
Negative 334104
Negative (%) 66.8%
Memory size 1.9 MiB
2024-12-02T16:40:46.537737 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.662664652
5-th percentile -0.8147343665
Q1 -0.5003220737
median -0.2339870557
Q3 0.1673588604
95-th percentile 1.378719962
Maximum 90.77062225
Range 92.43328857
Interquartile range (IQR) 0.6676809341

Descriptive statistics

Standard deviation 0.9471446276
Coefficient of variation (CV) -34.77857867
Kurtosis 346.8146057
Mean -0.02723356341
Median Absolute Deviation (MAD) 0.3121716976
Skewness 9.555936813
Sum -13616.7817
Variance 0.8970829248
Monotonicity Not monotonic
2024-12-02T16:40:46.657499 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.6139547825 3
 
< 0.1%
-0.5749648809 3
 
< 0.1%
-0.6960415244 3
 
< 0.1%
-0.7488352656 3
 
< 0.1%
-0.7727298737 3
 
< 0.1%
-0.5016165376 3
 
< 0.1%
-0.5213629007 3
 
< 0.1%
-0.7551268339 3
 
< 0.1%
-0.1990063488 2
 
< 0.1%
-0.4237026274 2
 
< 0.1%
Other values (497603) 499972
> 99.9%
Value Count Frequency (%)
-1.662664652 1
< 0.1%
-1.582692623 1
< 0.1%
-1.55123961 1
< 0.1%
-1.543583035 1
< 0.1%
-1.542114496 1
< 0.1%
Value Count Frequency (%)
90.77062225 1
< 0.1%
59.06419754 1
< 0.1%
44.93503571 1
< 0.1%
44.70824051 1
< 0.1%
43.22764587 1
< 0.1%

feature_13
Real number (ℝ)

Distinct 496274
Distinct (%) 99.3%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01707147761
Minimum -0.8443687558
Maximum 61.18650055
Zeros 0
Zeros (%) 0.0%
Negative 369059
Negative (%) 73.8%
Memory size 1.9 MiB
2024-12-02T16:40:46.767511 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.8443687558
5-th percentile -0.5170108229
Q1 -0.3847115785
median -0.2522026449
Q3 0.02242526878
95-th percentile 1.174295098
Maximum 61.18650055
Range 62.03086853
Interquartile range (IQR) 0.4071368473

Descriptive statistics

Standard deviation 0.9257969856
Coefficient of variation (CV) -54.23062998
Kurtosis 351.4857788
Mean -0.01707147761
Median Absolute Deviation (MAD) 0.1670943946
Skewness 12.13565731
Sum -8535.738806
Variance 0.8571000099
Monotonicity Not monotonic
2024-12-02T16:40:46.876763 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.4143741727 3
 
< 0.1%
-0.286347121 3
 
< 0.1%
-0.2602641881 3
 
< 0.1%
-0.3396595716 3
 
< 0.1%
-0.3081824481 3
 
< 0.1%
-0.2985197008 3
 
< 0.1%
-0.3029237092 3
 
< 0.1%
-0.385799408 3
 
< 0.1%
-0.276040405 3
 
< 0.1%
-0.4278815091 3
 
< 0.1%
Other values (496264) 499970
> 99.9%
Value Count Frequency (%)
-0.8443687558 1
< 0.1%
-0.8217619658 1
< 0.1%
-0.7921802402 1
< 0.1%
-0.7772025466 1
< 0.1%
-0.7737619281 1
< 0.1%
Value Count Frequency (%)
61.18650055 1
< 0.1%
59.5750351 1
< 0.1%
51.75345612 1
< 0.1%
51.05547333 1
< 0.1%
50.10698318 1
< 0.1%

feature_14
Real number (ℝ)

Distinct 497216
Distinct (%) 99.4%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02606652532
Minimum -1.293517947
Maximum 64.78554535
Zeros 0
Zeros (%) 0.0%
Negative 346679
Negative (%) 69.3%
Memory size 1.9 MiB
2024-12-02T16:40:46.987958 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.293517947
5-th percentile -0.7054941922
Q1 -0.4736182913
median -0.2532109171
Q3 0.1156402156
95-th percentile 1.334778231
Maximum 64.78554535
Range 66.07906342
Interquartile range (IQR) 0.5892585069

Descriptive statistics

Standard deviation 0.9364860654
Coefficient of variation (CV) -35.92677021
Kurtosis 222.8790894
Mean -0.02606652532
Median Absolute Deviation (MAD) 0.265368551
Skewness 9.066485405
Sum -13033.26266
Variance 0.8770061135
Monotonicity Not monotonic
2024-12-02T16:40:47.098451 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3263443112 3
 
< 0.1%
-0.5203970075 3
 
< 0.1%
-0.6087397337 3
 
< 0.1%
-0.400608182 3
 
< 0.1%
-0.4047854245 3
 
< 0.1%
-0.5583034754 3
 
< 0.1%
-0.566493094 3
 
< 0.1%
0.2682869732 3
 
< 0.1%
-0.4632849395 3
 
< 0.1%
-0.5054425597 3
 
< 0.1%
Other values (497206) 499970
> 99.9%
Value Count Frequency (%)
-1.293517947 1
< 0.1%
-1.216425776 1
< 0.1%
-1.214545131 1
< 0.1%
-1.200912714 1
< 0.1%
-1.194649458 1
< 0.1%
Value Count Frequency (%)
64.78554535 1
< 0.1%
46.70792389 1
< 0.1%
45.00522232 1
< 0.1%
43.69091797 1
< 0.1%
39.13582993 1
< 0.1%

feature_15
Real number (ℝ)

Missing 

Distinct 483556
Distinct (%) 99.3%
Missing 12955
Missing (%) 2.6%
Infinite 0
Infinite (%) 0.0%
Mean -0.1747385461
Minimum -1.554495811
Maximum 65.01383209
Zeros 0
Zeros (%) 0.0%
Negative 376848
Negative (%) 75.4%
Memory size 1.9 MiB
2024-12-02T16:40:47.208464 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.554495811
5-th percentile -0.9138921261
Q1 -0.6587345004
median -0.4231179655
Q3 -0.05434686318
95-th percentile 1.581811213
Maximum 65.01383209
Range 66.56832886
Interquartile range (IQR) 0.6043876372

Descriptive statistics

Standard deviation 0.9333329201
Coefficient of variation (CV) -5.341311008
Kurtosis 124.1541748
Mean -0.1747385461
Median Absolute Deviation (MAD) 0.2787862718
Skewness 5.351039886
Sum -85105.5352
Variance 0.8711103797
Monotonicity Not monotonic
2024-12-02T16:40:47.327355 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.5387465358 3
 
< 0.1%
-0.5586684942 3
 
< 0.1%
-0.4286290109 3
 
< 0.1%
-0.5659464002 3
 
< 0.1%
-0.4118321538 3
 
< 0.1%
-0.3966788054 3
 
< 0.1%
-0.5713863969 3
 
< 0.1%
-0.5572249293 3
 
< 0.1%
-0.5274878144 3
 
< 0.1%
-0.6471197605 3
 
< 0.1%
Other values (483546) 487015
97.4%
(Missing) 12955
 
2.6%
Value Count Frequency (%)
-1.554495811 1
< 0.1%
-1.550678492 1
< 0.1%
-1.497724175 1
< 0.1%
-1.489154696 1
< 0.1%
-1.483770967 1
< 0.1%
Value Count Frequency (%)
65.01383209 1
< 0.1%
55.66867065 1
< 0.1%
37.42133713 1
< 0.1%
37.01302719 1
< 0.1%
35.76119614 1
< 0.1%

feature_16
Real number (ℝ)

Distinct 496045
Distinct (%) 99.2%
Missing 3
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.1424208355
Minimum -1.482304573
Maximum 87.71739197
Zeros 0
Zeros (%) 0.0%
Negative 383591
Negative (%) 76.7%
Memory size 1.9 MiB
2024-12-02T16:40:47.557297 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.482304573
5-th percentile -0.8232172847
Q1 -0.5964646935
median -0.3946303427
Q3 -0.04215730354
95-th percentile 1.419666171
Maximum 87.71739197
Range 89.1996994
Interquartile range (IQR) 0.55430739

Descriptive statistics

Standard deviation 0.9260674119
Coefficient of variation (CV) -6.502330985
Kurtosis 281.4910278
Mean -0.1424208355
Median Absolute Deviation (MAD) 0.2456267178
Skewness 7.085734367
Sum -71209.99051
Variance 0.8576008677
Monotonicity Not monotonic
2024-12-02T16:40:47.658374 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.5849714875 3
 
< 0.1%
-0.5393738747 3
 
< 0.1%
-0.5045964718 3
 
< 0.1%
-0.3784634471 3
 
< 0.1%
-0.5172361732 3
 
< 0.1%
-0.7268137932 3
 
< 0.1%
-0.3743662834 3
 
< 0.1%
-0.5917854905 3
 
< 0.1%
-0.5690270662 3
 
< 0.1%
-0.6498911977 3
 
< 0.1%
Other values (496035) 499967
> 99.9%
Value Count Frequency (%)
-1.482304573 1
< 0.1%
-1.466191053 1
< 0.1%
-1.458322287 1
< 0.1%
-1.435928345 1
< 0.1%
-1.398847699 1
< 0.1%
Value Count Frequency (%)
87.71739197 1
< 0.1%
73.30442047 1
< 0.1%
33.6957283 1
< 0.1%
31.20006943 1
< 0.1%
28.36130524 1
< 0.1%

feature_17
Real number (ℝ)

Distinct 494005
Distinct (%) 99.3%
Missing 2283
Missing (%) 0.5%
Infinite 0
Infinite (%) 0.0%
Mean -0.1676503775
Minimum -1.555193067
Maximum 62.01698685
Zeros 0
Zeros (%) 0.0%
Negative 384200
Negative (%) 76.8%
Memory size 1.9 MiB
2024-12-02T16:40:47.771232 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.555193067
5-th percentile -0.89302665
Q1 -0.6460909843
median -0.4196410179
Q3 -0.05307219177
95-th percentile 1.561877203
Maximum 62.01698685
Range 63.5721817
Interquartile range (IQR) 0.5930187926

Descriptive statistics

Standard deviation 0.9335672259
Coefficient of variation (CV) -5.568536378
Kurtosis 128.0661469
Mean -0.1676503775
Median Absolute Deviation (MAD) 0.2702301741
Skewness 5.501729488
Sum -83442.44294
Variance 0.8715477586
Monotonicity Not monotonic
2024-12-02T16:40:47.884208 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.5647603273 3
 
< 0.1%
-0.7801936865 3
 
< 0.1%
-0.6194733977 3
 
< 0.1%
-0.5780843496 3
 
< 0.1%
-0.2665298879 3
 
< 0.1%
-0.4340590239 3
 
< 0.1%
-0.4727504253 3
 
< 0.1%
-0.4780375957 3
 
< 0.1%
-0.6355096102 3
 
< 0.1%
-0.6214714646 3
 
< 0.1%
Other values (493995) 497687
99.5%
(Missing) 2283
 
0.5%
Value Count Frequency (%)
-1.555193067 1
< 0.1%
-1.497623801 1
< 0.1%
-1.44842875 1
< 0.1%
-1.444757938 1
< 0.1%
-1.440953135 1
< 0.1%
Value Count Frequency (%)
62.01698685 1
< 0.1%
54.98829651 1
< 0.1%
48.25149155 1
< 0.1%
47.88669968 1
< 0.1%
37.89884567 1
< 0.1%

feature_18
Real number (ℝ)

Distinct 498286
Distinct (%) 99.7%
Missing 3
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean 0.002086665881
Minimum -5.308614254
Maximum 5.036973476
Zeros 0
Zeros (%) 0.0%
Negative 247496
Negative (%) 49.5%
Memory size 1.9 MiB
2024-12-02T16:40:47.998277 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.308614254
5-th percentile -1.721270585
Q1 -0.6925414205
median 0.01279576961
Q3 0.6981568336
95-th percentile 1.709782386
Maximum 5.036973476
Range 10.34558773
Interquartile range (IQR) 1.390698254

Descriptive statistics

Standard deviation 1.0378654
Coefficient of variation (CV) 497.379772
Kurtosis -0.01668167487
Mean 0.002086665881
Median Absolute Deviation (MAD) 0.695263207
Skewness -0.01473309472
Sum 1043.326681
Variance 1.077164531
Monotonicity Not monotonic
2024-12-02T16:40:48.108410 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.073324084 3
 
< 0.1%
0.6580033898 3
 
< 0.1%
-1.02382195 3
 
< 0.1%
0.6757823825 3
 
< 0.1%
-0.7362591624 2
 
< 0.1%
-0.7562180758 2
 
< 0.1%
1.279775858 2
 
< 0.1%
-0.6019257307 2
 
< 0.1%
-0.7125737071 2
 
< 0.1%
0.6116042137 2
 
< 0.1%
Other values (498276) 499973
> 99.9%
(Missing) 3
 
< 0.1%
Value Count Frequency (%)
-5.308614254 1
< 0.1%
-4.11022234 1
< 0.1%
-4.051938057 1
< 0.1%
-4.047477245 1
< 0.1%
-4.040000439 1
< 0.1%
Value Count Frequency (%)
5.036973476 1
< 0.1%
4.846122265 1
< 0.1%
4.684274673 1
< 0.1%
4.662919521 1
< 0.1%
4.610805035 1
< 0.1%

feature_19
Real number (ℝ)

Distinct 498377
Distinct (%) 99.7%
Missing 3
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.01708702604
Minimum -5.449372768
Maximum 4.977899551
Zeros 0
Zeros (%) 0.0%
Negative 251814
Negative (%) 50.4%
Memory size 1.9 MiB
2024-12-02T16:40:48.217506 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.449372768
5-th percentile -1.781216574
Q1 -0.7185196877
median -0.009712993167
Q3 0.7073963881
95-th percentile 1.697527623
Maximum 4.977899551
Range 10.4272728
Interquartile range (IQR) 1.425916076

Descriptive statistics

Standard deviation 1.057039618
Coefficient of variation (CV) -61.86211784
Kurtosis -0.0461936444
Mean -0.01708702604
Median Absolute Deviation (MAD) 0.7131653428
Skewness -0.04294909164
Sum -8543.461759
Variance 1.117332816
Monotonicity Not monotonic
2024-12-02T16:40:48.327589 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.409379482 3
 
< 0.1%
-0.957732141 3
 
< 0.1%
-0.6734220982 3
 
< 0.1%
0.9431322813 3
 
< 0.1%
-0.8393697739 2
 
< 0.1%
1.119601011 2
 
< 0.1%
0.6653166413 2
 
< 0.1%
-0.4031866789 2
 
< 0.1%
-0.9378893971 2
 
< 0.1%
-1.572425246 2
 
< 0.1%
Other values (498367) 499973
> 99.9%
(Missing) 3
 
< 0.1%
Value Count Frequency (%)
-5.449372768 1
< 0.1%
-4.983817101 1
< 0.1%
-4.345885754 1
< 0.1%
-4.332151413 1
< 0.1%
-4.167984486 1
< 0.1%
Value Count Frequency (%)
4.977899551 1
< 0.1%
4.968849659 1
< 0.1%
4.901758194 1
< 0.1%
4.882615566 1
< 0.1%
4.878134727 1
< 0.1%

feature_20
Real number (ℝ)

Distinct 50354
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.1206879259
Minimum -4.620031357
Maximum 5.421158791
Zeros 0
Zeros (%) 0.0%
Negative 284612
Negative (%) 56.9%
Memory size 1.9 MiB
2024-12-02T16:40:48.428233 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.620031357
5-th percentile -1.671584964
Q1 -0.7019103169
median -0.1392442435
Q3 0.4440056384
95-th percentile 1.449715018
Maximum 5.421158791
Range 10.04119015
Interquartile range (IQR) 1.145915955

Descriptive statistics

Standard deviation 0.9443704486
Coefficient of variation (CV) -7.824895837
Kurtosis 0.9378643632
Mean -0.1206879259
Median Absolute Deviation (MAD) 0.5719677806
Skewness 0.1817917973
Sum -60343.96293
Variance 0.8918355703
Monotonicity Not monotonic
2024-12-02T16:40:48.539273 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.3088104427 38
 
< 0.1%
0.0005330502172 38
 
< 0.1%
0.4280347526 37
 
< 0.1%
1.776622772 37
 
< 0.1%
0.2876160443 36
 
< 0.1%
-0.3050113022 36
 
< 0.1%
-0.8957885504 36
 
< 0.1%
0.7150303721 36
 
< 0.1%
-2.276093483 35
 
< 0.1%
1.543219566 35
 
< 0.1%
Other values (50344) 499636
99.9%
Value Count Frequency (%)
-4.620031357 8
< 0.1%
-4.350789547 11
< 0.1%
-3.953416824 9
< 0.1%
-3.896194935 16
< 0.1%
-3.867288589 5
 
< 0.1%
Value Count Frequency (%)
5.421158791 13
< 0.1%
5.36936903 21
< 0.1%
5.247256756 10
< 0.1%
4.823106766 19
< 0.1%
4.764411926 14
< 0.1%

feature_21
Real number (ℝ)

Missing  Skewed 

Distinct 40455
Distinct (%) 11.8%
Missing 157351
Missing (%) 31.5%
Infinite 0
Infinite (%) 0.0%
Mean 0.03085686778
Minimum -0.558637023
Maximum 161.4867706
Zeros 0
Zeros (%) 0.0%
Negative 212494
Negative (%) 42.5%
Memory size 1.9 MiB
2024-12-02T16:40:48.647369 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.558637023
5-th percentile -0.3084590137
Q1 -0.1990834922
median -0.07801997662
Q3 0.129134804
95-th percentile 0.7262582779
Maximum 161.4867706
Range 162.0454102
Interquartile range (IQR) 0.3282182962

Descriptive statistics

Standard deviation 0.9465070963
Coefficient of variation (CV) 30.67411453
Kurtosis 24707.82617
Mean 0.03085686778
Median Absolute Deviation (MAD) 0.1447087675
Skewness 145.0280457
Sum 10573.07489
Variance 0.8958756328
Monotonicity Not monotonic
2024-12-02T16:40:48.767496 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.05008154735 25
 
< 0.1%
0.8468207717 24
 
< 0.1%
0.342433095 23
 
< 0.1%
-0.08989790827 23
 
< 0.1%
0.06703450531 23
 
< 0.1%
-0.2946572006 23
 
< 0.1%
0.2274991125 22
 
< 0.1%
-0.06749562919 22
 
< 0.1%
0.6069555283 22
 
< 0.1%
-0.1701645553 22
 
< 0.1%
Other values (40445) 342420
68.5%
(Missing) 157351
31.5%
Value Count Frequency (%)
-0.558637023 11
< 0.1%
-0.5039904714 6
< 0.1%
-0.4806044102 14
< 0.1%
-0.4742308855 11
< 0.1%
-0.4705778956 5
 
< 0.1%
Value Count Frequency (%)
161.4867706 10
< 0.1%
5.35051012 7
< 0.1%
5.080124378 12
< 0.1%
4.440326214 6
< 0.1%
4.347686768 10
< 0.1%

feature_22
Real number (ℝ)

Distinct 50357
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.05735769527
Minimum -2.602897882
Maximum 4.128448963
Zeros 0
Zeros (%) 0.0%
Negative 269481
Negative (%) 53.9%
Memory size 1.9 MiB
2024-12-02T16:40:48.877602 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -2.602897882
5-th percentile -1.305572391
Q1 -0.6826721579
median -0.1008650512
Q3 0.674701035
95-th percentile 1.941261786
Maximum 4.128448963
Range 6.731347084
Interquartile range (IQR) 1.357373193

Descriptive statistics

Standard deviation 0.9909996986
Coefficient of variation (CV) 17.27753694
Kurtosis -0.03199113905
Mean 0.05735769527
Median Absolute Deviation (MAD) 0.6558102965
Skewness 0.6114872694
Sum 28678.84764
Variance 0.9820804
Monotonicity Not monotonic
2024-12-02T16:40:48.996616 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.1799109131 38
 
< 0.1%
0.6646927595 38
 
< 0.1%
0.7247776985 37
 
< 0.1%
-0.566809833 36
 
< 0.1%
0.7383115292 36
 
< 0.1%
-0.5987278223 36
 
< 0.1%
2.309506655 36
 
< 0.1%
0.2868216932 35
 
< 0.1%
0.2613121271 35
 
< 0.1%
1.200494885 35
 
< 0.1%
Other values (50347) 499638
99.9%
Value Count Frequency (%)
-2.602897882 10
< 0.1%
-2.510698557 13
< 0.1%
-2.488610268 13
< 0.1%
-2.486122847 10
< 0.1%
-2.470806599 14
< 0.1%
Value Count Frequency (%)
4.128448963 10
< 0.1%
3.755303383 17
< 0.1%
3.741806507 9
< 0.1%
3.67589736 14
< 0.1%
3.603843212 16
< 0.1%

feature_23
Real number (ℝ)

Distinct 50344
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.06992866335
Minimum -2.585010767
Maximum 3.243720055
Zeros 0
Zeros (%) 0.0%
Negative 262130
Negative (%) 52.4%
Memory size 1.9 MiB
2024-12-02T16:40:49.108335 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -2.585010767
5-th percentile -1.297837019
Q1 -0.6910067797
median -0.06562043726
Q3 0.786108315
95-th percentile 1.758408189
Maximum 3.243720055
Range 5.828730583
Interquartile range (IQR) 1.477115095

Descriptive statistics

Standard deviation 0.958139956
Coefficient of variation (CV) 13.70167697
Kurtosis -0.7458870411
Mean 0.06992866335
Median Absolute Deviation (MAD) 0.7102633119
Skewness 0.3370256424
Sum 34964.33167
Variance 0.9180322289
Monotonicity Not monotonic
2024-12-02T16:40:49.217443 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.122704625 40
 
< 0.1%
0.3416971862 38
 
< 0.1%
-0.003028888954 38
 
< 0.1%
1.273375988 37
 
< 0.1%
0.8906701207 36
 
< 0.1%
-0.711881876 36
 
< 0.1%
-0.6331958175 36
 
< 0.1%
1.951609254 36
 
< 0.1%
-0.02188127115 35
 
< 0.1%
0.8502454758 35
 
< 0.1%
Other values (50334) 499633
99.9%
Value Count Frequency (%)
-2.585010767 9
< 0.1%
-2.487529516 7
< 0.1%
-2.484238386 13
< 0.1%
-2.423340559 16
< 0.1%
-2.335658312 15
< 0.1%
Value Count Frequency (%)
3.243720055 8
 
< 0.1%
2.896742344 24
< 0.1%
2.851498842 20
< 0.1%
2.750185013 7
 
< 0.1%
2.734635115 3
 
< 0.1%

feature_24
Real number (ℝ)

Distinct 50357
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.3747812198
Minimum -3.234935284
Maximum 10.74445152
Zeros 0
Zeros (%) 0.0%
Negative 223943
Negative (%) 44.8%
Memory size 1.9 MiB
2024-12-02T16:40:49.322103 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.234935284
5-th percentile -1.499569553
Q1 -0.5975886583
median 0.1613406166
Q3 1.092627406
95-th percentile 2.943855047
Maximum 10.74445152
Range 13.97938728
Interquartile range (IQR) 1.690216064

Descriptive statistics

Standard deviation 1.405816197
Coefficient of variation (CV) 3.751031597
Kurtosis 2.730148077
Mean 0.3747812198
Median Absolute Deviation (MAD) 0.826687932
Skewness 1.170423985
Sum 187390.6099
Variance 1.976319194
Monotonicity Not monotonic
2024-12-02T16:40:49.428456 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.073229074 38
 
< 0.1%
-0.9047803879 38
 
< 0.1%
-0.1103448793 37
 
< 0.1%
-2.399110556 36
 
< 0.1%
-1.787954807 36
 
< 0.1%
-0.7975934148 36
 
< 0.1%
-1.528750062 36
 
< 0.1%
-0.8515459299 35
 
< 0.1%
-1.455731273 35
 
< 0.1%
0.6027555466 35
 
< 0.1%
Other values (50347) 499638
99.9%
Value Count Frequency (%)
-3.234935284 9
 
< 0.1%
-3.110883951 25
< 0.1%
-2.99842906 8
 
< 0.1%
-2.975761652 20
< 0.1%
-2.959194422 28
< 0.1%
Value Count Frequency (%)
10.74445152 7
< 0.1%
10.10992432 10
< 0.1%
10.10790157 7
< 0.1%
10.07018852 6
< 0.1%
9.898862839 12
< 0.1%

feature_25
Real number (ℝ)

Distinct 50355
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.09339186798
Minimum -2.178431273
Maximum 4.136297226
Zeros 0
Zeros (%) 0.0%
Negative 267228
Negative (%) 53.4%
Memory size 1.9 MiB
2024-12-02T16:40:49.537474 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -2.178431273
5-th percentile -1.253325582
Q1 -0.7277455926
median -0.1042831019
Q3 0.7975894809
95-th percentile 2.021977186
Maximum 4.136297226
Range 6.314728737
Interquartile range (IQR) 1.525335073

Descriptive statistics

Standard deviation 1.026920795
Coefficient of variation (CV) 10.9958267
Kurtosis -0.3302359581
Mean 0.09339186798
Median Absolute Deviation (MAD) 0.7257757187
Skewness 0.6219798326
Sum 46695.93399
Variance 1.054566264
Monotonicity Not monotonic
2024-12-02T16:40:49.647364 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.7296752334 40
 
< 0.1%
-0.4052195549 38
 
< 0.1%
0.3080278039 38
 
< 0.1%
1.454923153 37
 
< 0.1%
0.8196409345 37
 
< 0.1%
-0.8801627159 36
 
< 0.1%
-0.4449898303 36
 
< 0.1%
0.3766326606 36
 
< 0.1%
-1.572180271 36
 
< 0.1%
1.885299802 35
 
< 0.1%
Other values (50345) 499631
99.9%
Value Count Frequency (%)
-2.178431273 6
< 0.1%
-2.04921627 13
< 0.1%
-2.04159236 9
< 0.1%
-2.040929079 7
< 0.1%
-2.00875783 11
< 0.1%
Value Count Frequency (%)
4.136297226 11
< 0.1%
3.704609632 8
< 0.1%
3.698759079 11
< 0.1%
3.671051979 8
< 0.1%
3.668504953 4
 
< 0.1%

feature_26
Real number (ℝ)

Missing 

Distinct 40458
Distinct (%) 11.8%
Missing 157351
Missing (%) 31.5%
Infinite 0
Infinite (%) 0.0%
Mean -0.04578149429
Minimum -3.451056242
Maximum 4.862732887
Zeros 0
Zeros (%) 0.0%
Negative 175717
Negative (%) 35.1%
Memory size 1.9 MiB
2024-12-02T16:40:49.757673 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.451056242
5-th percentile -1.56780076
Q1 -0.7979549766
median -0.03095868975
Q3 0.4638816118
95-th percentile 1.976815104
Maximum 4.862732887
Range 8.313789368
Interquartile range (IQR) 1.261836588

Descriptive statistics

Standard deviation 1.052272081
Coefficient of variation (CV) -22.98466002
Kurtosis 1.424780369
Mean -0.04578149429
Median Absolute Deviation (MAD) 0.5836060047
Skewness 0.828297019
Sum -15686.98324
Variance 1.107276559
Monotonicity Not monotonic
2024-12-02T16:40:49.989021 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.5642098188 25
 
< 0.1%
3.294192553 24
 
< 0.1%
-1.702740073 23
 
< 0.1%
0.3353464007 23
 
< 0.1%
-0.3175221384 23
 
< 0.1%
0.3064679801 23
 
< 0.1%
0.4503796697 22
 
< 0.1%
0.5095683932 22
 
< 0.1%
0.2734793127 22
 
< 0.1%
3.769282103 22
 
< 0.1%
Other values (40448) 342420
68.5%
(Missing) 157351
31.5%
Value Count Frequency (%)
-3.451056242 10
< 0.1%
-2.815844536 11
< 0.1%
-2.729985714 8
< 0.1%
-2.712827921 12
< 0.1%
-2.633948088 10
< 0.1%
Value Count Frequency (%)
4.862732887 7
< 0.1%
4.702494144 7
< 0.1%
4.699014664 5
< 0.1%
4.674118519 3
 
< 0.1%
4.65981245 8
< 0.1%

feature_27
Real number (ℝ)

Missing 

Distinct 40448
Distinct (%) 11.8%
Missing 157351
Missing (%) 31.5%
Infinite 0
Infinite (%) 0.0%
Mean -0.2282055722
Minimum -3.475544453
Maximum 2.643550396
Zeros 0
Zeros (%) 0.0%
Negative 202876
Negative (%) 40.6%
Memory size 1.9 MiB
2024-12-02T16:40:50.089035 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.475544453
5-th percentile -1.863591313
Q1 -1.050970316
median -0.3012425303
Q3 0.5864010453
95-th percentile 1.555080891
Maximum 2.643550396
Range 6.119094849
Interquartile range (IQR) 1.637371361

Descriptive statistics

Standard deviation 1.061035514
Coefficient of variation (CV) -4.649472419
Kurtosis -0.7561329007
Mean -0.2282055722
Median Absolute Deviation (MAD) 0.8124396801
Skewness 0.1187663674
Sum -78194.41112
Variance 1.125796318
Monotonicity Not monotonic
2024-12-02T16:40:50.198446 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.06169343 26
 
< 0.1%
-0.5787997246 25
 
< 0.1%
-0.1674537361 25
 
< 0.1%
-1.538516045 24
 
< 0.1%
-0.7258479595 24
 
< 0.1%
-2.38964653 24
 
< 0.1%
-1.133966446 23
 
< 0.1%
-0.9116048217 23
 
< 0.1%
-1.874202251 23
 
< 0.1%
-0.9865882993 22
 
< 0.1%
Other values (40438) 342410
68.5%
(Missing) 157351
31.5%
Value Count Frequency (%)
-3.475544453 8
< 0.1%
-3.322087526 6
< 0.1%
-3.319728851 10
< 0.1%
-3.281071901 11
< 0.1%
-3.268897772 7
< 0.1%
Value Count Frequency (%)
2.643550396 7
< 0.1%
2.618360281 10
< 0.1%
2.603527069 7
< 0.1%
2.566266298 7
< 0.1%
2.511871576 6
< 0.1%

feature_28
Real number (ℝ)

Distinct 50351
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.1269450002
Minimum -4.063898087
Maximum 2.88090992
Zeros 0
Zeros (%) 0.0%
Negative 273215
Negative (%) 54.6%
Memory size 1.9 MiB
2024-12-02T16:40:50.307413 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.063898087
5-th percentile -1.810172677
Q1 -0.8995479345
median -0.1583277434
Q3 0.6664626598
95-th percentile 1.576732874
Maximum 2.88090992
Range 6.944808006
Interquartile range (IQR) 1.566010594

Descriptive statistics

Standard deviation 1.040834665
Coefficient of variation (CV) -8.199099324
Kurtosis -0.6396102905
Mean -0.1269450002
Median Absolute Deviation (MAD) 0.7811542749
Skewness -0.02042100951
Sum -63472.50009
Variance 1.083336711
Monotonicity Not monotonic
2024-12-02T16:40:50.422377 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.585870266 38
 
< 0.1%
0.91783005 38
 
< 0.1%
-0.8685621619 37
 
< 0.1%
0.6290332079 36
 
< 0.1%
-0.2316966504 36
 
< 0.1%
2.122717381 36
 
< 0.1%
0.7699365616 36
 
< 0.1%
2.076316833 35
 
< 0.1%
0.1455345154 35
 
< 0.1%
-0.5173721313 35
 
< 0.1%
Other values (50341) 499638
99.9%
Value Count Frequency (%)
-4.063898087 5
< 0.1%
-3.672041416 10
< 0.1%
-3.516058207 11
< 0.1%
-3.428661823 4
 
< 0.1%
-3.384319305 10
< 0.1%
Value Count Frequency (%)
2.88090992 13
< 0.1%
2.685486078 10
< 0.1%
2.580112457 10
< 0.1%
2.569486856 15
< 0.1%
2.52071619 6
 
< 0.1%

feature_29
Real number (ℝ)

Distinct 50320
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.1687144933
Minimum -1.595729709
Maximum 7.534705639
Zeros 0
Zeros (%) 0.0%
Negative 389396
Negative (%) 77.9%
Memory size 1.9 MiB
2024-12-02T16:40:50.538823 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.595729709
5-th percentile -0.8413043022
Q1 -0.6300615072
median -0.4510925412
Q3 -0.08304779232
95-th percentile 1.716184378
Maximum 7.534705639
Range 9.13043499
Interquartile range (IQR) 0.5470137149

Descriptive statistics

Standard deviation 0.8863870502
Coefficient of variation (CV) -5.253769446
Kurtosis 11.37009335
Mean -0.1687144933
Median Absolute Deviation (MAD) 0.2291833311
Skewness 3.042381287
Sum -84357.24667
Variance 0.7856820226
Monotonicity Not monotonic
2024-12-02T16:40:50.647674 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.7990236282 38
 
< 0.1%
-0.2925106585 38
 
< 0.1%
-0.4556641877 37
 
< 0.1%
2.297555208 37
 
< 0.1%
-0.1160385907 36
 
< 0.1%
-0.5124350786 36
 
< 0.1%
-0.1815849245 36
 
< 0.1%
-0.5159287453 36
 
< 0.1%
1.453950405 35
 
< 0.1%
0.07041183859 35
 
< 0.1%
Other values (50310) 499636
99.9%
Value Count Frequency (%)
-1.595729709 9
< 0.1%
-1.431867719 9
< 0.1%
-1.37231493 7
< 0.1%
-1.357452512 10
< 0.1%
-1.336721063 3
 
< 0.1%
Value Count Frequency (%)
7.534705639 6
 
< 0.1%
7.524597168 8
< 0.1%
7.285614491 8
< 0.1%
7.273420334 16
< 0.1%
7.173436642 6
 
< 0.1%

feature_30
Real number (ℝ)

Distinct 50317
Distinct (%) 10.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.1762103075
Minimum -1.670693398
Maximum 9.410682678
Zeros 0
Zeros (%) 0.0%
Negative 382899
Negative (%) 76.6%
Memory size 1.9 MiB
2024-12-02T16:40:50.748211 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.670693398
5-th percentile -0.9509541363
Q1 -0.6890246868
median -0.4489228725
Q3 -0.03680639341
95-th percentile 1.736324668
Maximum 9.410682678
Range 11.08137608
Interquartile range (IQR) 0.6522182934

Descriptive statistics

Standard deviation 0.9553546906
Coefficient of variation (CV) -5.421673135
Kurtosis 13.72438812
Mean -0.1762103075
Median Absolute Deviation (MAD) 0.2908672392
Skewness 3.188716412
Sum -88105.15377
Variance 0.9127025604
Monotonicity Not monotonic
2024-12-02T16:40:50.858379 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.0516650416 38
 
< 0.1%
-0.395521462 38
 
< 0.1%
1.84189105 37
 
< 0.1%
-0.06413264573 36
 
< 0.1%
0.30639714 36
 
< 0.1%
0.2261872888 36
 
< 0.1%
0.1041995883 36
 
< 0.1%
-0.04746239632 35
 
< 0.1%
1.528331041 35
 
< 0.1%
-0.06855002046 35
 
< 0.1%
Other values (50307) 499638
99.9%
Value Count Frequency (%)
-1.670693398 7
< 0.1%
-1.590399742 10
< 0.1%
-1.48509264 9
< 0.1%
-1.472679377 5
< 0.1%
-1.469736338 5
< 0.1%
Value Count Frequency (%)
9.410682678 7
 
< 0.1%
9.335816383 6
 
< 0.1%
9.321818352 21
< 0.1%
8.844807625 11
< 0.1%
8.831897736 4
 
< 0.1%

feature_31
Real number (ℝ)

Missing  Skewed 

Distinct 40453
Distinct (%) 11.8%
Missing 157351
Missing (%) 31.5%
Infinite 0
Infinite (%) 0.0%
Mean 0.02930458091
Minimum -0.5034983158
Maximum 127.9803696
Zeros 0
Zeros (%) 0.0%
Negative 212494
Negative (%) 42.5%
Memory size 1.9 MiB
2024-12-02T16:40:50.972716 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.5034983158
5-th percentile -0.3109466732
Q1 -0.199740842
median -0.07793499529
Q3 0.1288889647
95-th percentile 0.7326647043
Maximum 127.9803696
Range 128.4838715
Interquartile range (IQR) 0.3286298066

Descriptive statistics

Standard deviation 0.7819860578
Coefficient of variation (CV) 26.68477192
Kurtosis 20916.67773
Mean 0.02930458091
Median Absolute Deviation (MAD) 0.1458503008
Skewness 128.129303
Sum 10041.18534
Variance 0.6115022302
Monotonicity Not monotonic
2024-12-02T16:40:51.089331 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.06095327809 25
 
< 0.1%
-0.2424827516 24
 
< 0.1%
0.8179574609 24
 
< 0.1%
0.192691505 23
 
< 0.1%
-0.2678584456 23
 
< 0.1%
-0.3069110215 23
 
< 0.1%
0.08655823022 23
 
< 0.1%
-0.08753153682 22
 
< 0.1%
-0.2164745778 22
 
< 0.1%
-0.1565289348 22
 
< 0.1%
Other values (40443) 342418
68.5%
(Missing) 157351
31.5%
Value Count Frequency (%)
-0.5034983158 3
 
< 0.1%
-0.4729443789 10
< 0.1%
-0.4706570208 9
< 0.1%
-0.4687861204 7
< 0.1%
-0.4683173895 9
< 0.1%
Value Count Frequency (%)
127.9803696 10
< 0.1%
4.820026875 11
< 0.1%
4.384478092 11
< 0.1%
4.348082542 5
< 0.1%
4.115830421 8
< 0.1%

feature_32
Real number (ℝ)

Missing 

Distinct 493110
Distinct (%) 99.7%
Missing 5204
Missing (%) 1.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.33565953
Minimum -4.264006138
Maximum 5.360836029
Zeros 0
Zeros (%) 0.0%
Negative 199781
Negative (%) 40.0%
Memory size 1.9 MiB
2024-12-02T16:40:51.205705 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.264006138
5-th percentile -1.619729906
Q1 -0.5005568117
median 0.294917047
Q3 1.134819627
95-th percentile 2.520977736
Maximum 5.360836029
Range 9.62484169
Interquartile range (IQR) 1.635376438

Descriptive statistics

Standard deviation 1.222786069
Coefficient of variation (CV) 3.642935653
Kurtosis -0.1641891748
Mean 0.33565953
Median Absolute Deviation (MAD) 0.8167670965
Skewness 0.1059684977
Sum 166082.9928
Variance 1.495205879
Monotonicity Not monotonic
2024-12-02T16:40:51.308433 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.119875312 3
 
< 0.1%
0.8830444217 3
 
< 0.1%
-1.16547358 3
 
< 0.1%
1.212019801 3
 
< 0.1%
1.08214891 3
 
< 0.1%
0.398532033 2
 
< 0.1%
1.419982314 2
 
< 0.1%
2.489690542 2
 
< 0.1%
-0.2578561604 2
 
< 0.1%
2.021629333 2
 
< 0.1%
Other values (493100) 494771
99.0%
(Missing) 5204
 
1.0%
Value Count Frequency (%)
-4.264006138 1
< 0.1%
-4.139046192 1
< 0.1%
-4.064507961 1
< 0.1%
-4.05898571 1
< 0.1%
-4.024407387 1
< 0.1%
Value Count Frequency (%)
5.360836029 1
< 0.1%
5.192491055 1
< 0.1%
4.315651417 1
< 0.1%
4.188996792 1
< 0.1%
4.181530952 1
< 0.1%

feature_33
Real number (ℝ)

Missing 

Distinct 493184
Distinct (%) 99.7%
Missing 5204
Missing (%) 1.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01091075365
Minimum -4.12948513
Maximum 5.339937687
Zeros 0
Zeros (%) 0.0%
Negative 249475
Negative (%) 49.9%
Memory size 1.9 MiB
2024-12-02T16:40:51.422812 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.12948513
5-th percentile -1.709268481
Q1 -0.6846828163
median -0.01070446242
Q3 0.6626527607
95-th percentile 1.684349775
Maximum 5.339937687
Range 9.469423294
Interquartile range (IQR) 1.347335577

Descriptive statistics

Standard deviation 1.022324681
Coefficient of variation (CV) -93.69881443
Kurtosis 0.03303753212
Mean -0.01091075365
Median Absolute Deviation (MAD) 0.67361027
Skewness -0.006544743665
Sum -5398.597262
Variance 1.045147657
Monotonicity Not monotonic
2024-12-02T16:40:51.527328 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.046613216 3
 
< 0.1%
1.004590154 3
 
< 0.1%
0.8155550361 2
 
< 0.1%
-0.4252191186 2
 
< 0.1%
-1.052105665 2
 
< 0.1%
-0.4643164277 2
 
< 0.1%
-0.3691208363 2
 
< 0.1%
-2.147324324 2
 
< 0.1%
-0.6068873405 2
 
< 0.1%
-0.7934688926 2
 
< 0.1%
Other values (493174) 494774
99.0%
(Missing) 5204
 
1.0%
Value Count Frequency (%)
-4.12948513 1
< 0.1%
-3.97976017 1
< 0.1%
-3.930641651 1
< 0.1%
-3.924619198 1
< 0.1%
-3.884036541 1
< 0.1%
Value Count Frequency (%)
5.339937687 1
< 0.1%
5.106865406 1
< 0.1%
3.963414669 1
< 0.1%
3.93702054 1
< 0.1%
3.892780542 1
< 0.1%

feature_34
Real number (ℝ)

Distinct 498171
Distinct (%) 99.6%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.3565600419
Minimum -3.991115093
Maximum 4.469052792
Zeros 0
Zeros (%) 0.0%
Negative 201368
Negative (%) 40.3%
Memory size 1.9 MiB
2024-12-02T16:40:51.639462 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.991115093
5-th percentile -1.604014158
Q1 -0.4973379001
median 0.2974417955
Q3 1.14695856
95-th percentile 2.675608993
Maximum 4.469052792
Range 8.460167885
Interquartile range (IQR) 1.64429646

Descriptive statistics

Standard deviation 1.247326374
Coefficient of variation (CV) 3.498222536
Kurtosis -0.1066557392
Mean 0.3565600419
Median Absolute Deviation (MAD) 0.8204419017
Skewness 0.1817254275
Sum 178280.021
Variance 1.555823207
Monotonicity Not monotonic
2024-12-02T16:40:51.749831 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.9885601997 3
 
< 0.1%
-1.59362638 3
 
< 0.1%
1.173543692 3
 
< 0.1%
0.9785820842 3
 
< 0.1%
-0.5860065222 2
 
< 0.1%
-0.6880629659 2
 
< 0.1%
1.002363682 2
 
< 0.1%
1.373036265 2
 
< 0.1%
0.3886755705 2
 
< 0.1%
0.8579511046 2
 
< 0.1%
Other values (498161) 499976
> 99.9%
Value Count Frequency (%)
-3.991115093 1
< 0.1%
-3.984764814 1
< 0.1%
-3.921731472 1
< 0.1%
-3.908265114 1
< 0.1%
-3.835686207 1
< 0.1%
Value Count Frequency (%)
4.469052792 1
< 0.1%
4.228700638 1
< 0.1%
4.179434299 1
< 0.1%
4.16300106 1
< 0.1%
4.143316269 1
< 0.1%

feature_35
Real number (ℝ)

Distinct 498340
Distinct (%) 99.7%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.3556467436
Minimum -4.311864376
Maximum 4.365178585
Zeros 0
Zeros (%) 0.0%
Negative 201196
Negative (%) 40.2%
Memory size 1.9 MiB
2024-12-02T16:40:51.858581 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.311864376
5-th percentile -1.602331996
Q1 -0.4981539845
median 0.2983749211
Q3 1.148414999
95-th percentile 2.657568836
Maximum 4.365178585
Range 8.677042961
Interquartile range (IQR) 1.646568984

Descriptive statistics

Standard deviation 1.244326591
Coefficient of variation (CV) 3.498771221
Kurtosis -0.1188509837
Mean 0.3556467436
Median Absolute Deviation (MAD) 0.8213787079
Skewness 0.1729190797
Sum 177823.3718
Variance 1.548348665
Monotonicity Not monotonic
2024-12-02T16:40:51.970731 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.021812558 3
 
< 0.1%
-2.159742832 3
 
< 0.1%
0.7950675488 3
 
< 0.1%
1.03005445 3
 
< 0.1%
0.4702317119 3
 
< 0.1%
2.191737413 3
 
< 0.1%
1.764851689 2
 
< 0.1%
2.222332239 2
 
< 0.1%
2.183356047 2
 
< 0.1%
0.9582358003 2
 
< 0.1%
Other values (498330) 499974
> 99.9%
Value Count Frequency (%)
-4.311864376 1
< 0.1%
-4.058841228 1
< 0.1%
-4.054207325 1
< 0.1%
-4.028652191 1
< 0.1%
-3.908890963 1
< 0.1%
Value Count Frequency (%)
4.365178585 1
< 0.1%
4.343349934 1
< 0.1%
4.238349438 1
< 0.1%
4.187971592 1
< 0.1%
4.179965019 1
< 0.1%

feature_36
Real number (ℝ)

Distinct 498304
Distinct (%) 99.7%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.004079376206
Minimum -3.976090193
Maximum 4.338851929
Zeros 0
Zeros (%) 0.0%
Negative 249085
Negative (%) 49.8%
Memory size 1.9 MiB
2024-12-02T16:40:52.081539 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.976090193
5-th percentile -1.609610027
Q1 -0.6387707591
median 0.004367628833
Q3 0.6465026438
95-th percentile 1.618034142
Maximum 4.338851929
Range 8.31494236
Interquartile range (IQR) 1.285273403

Descriptive statistics

Standard deviation 0.9764672518
Coefficient of variation (CV) 239.3668058
Kurtosis 0.1174067035
Mean 0.004079376206
Median Absolute Deviation (MAD) 0.6425958872
Skewness -0.002489929553
Sum 2039.688103
Variance 0.9534882903
Monotonicity Not monotonic
2024-12-02T16:40:52.196716 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.5664746761 3
 
< 0.1%
0.7866869569 3
 
< 0.1%
-0.8269407749 3
 
< 0.1%
1.097014666 3
 
< 0.1%
1.105957389 3
 
< 0.1%
-0.9778766036 3
 
< 0.1%
1.365356326 2
 
< 0.1%
-0.6888400912 2
 
< 0.1%
0.7808986902 2
 
< 0.1%
1.104411602 2
 
< 0.1%
Other values (498294) 499974
> 99.9%
Value Count Frequency (%)
-3.976090193 1
< 0.1%
-3.937385559 1
< 0.1%
-3.83612299 1
< 0.1%
-3.835918903 1
< 0.1%
-3.827939034 1
< 0.1%
Value Count Frequency (%)
4.338851929 1
< 0.1%
4.052276611 1
< 0.1%
4.001868248 1
< 0.1%
3.931216478 1
< 0.1%
3.77457881 1
< 0.1%

feature_37
Real number (ℝ)

Distinct 498598
Distinct (%) 99.7%
Missing 12
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean 0.02593992923
Minimum -9.199940681
Maximum 19.54344177
Zeros 0
Zeros (%) 0.0%
Negative 250341
Negative (%) 50.1%
Memory size 1.9 MiB
2024-12-02T16:40:52.423667 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -9.199940681
5-th percentile -1.416144633
Q1 -0.4456622824
median -0.001129664655
Q3 0.4639586881
95-th percentile 1.538867563
Maximum 19.54344177
Range 28.7433815
Interquartile range (IQR) 0.9096209705

Descriptive statistics

Standard deviation 0.9522807002
Coefficient of variation (CV) 36.71099839
Kurtosis 8.983151436
Mean 0.02593992923
Median Absolute Deviation (MAD) 0.4546796083
Skewness 0.6028351784
Sum 12969.65333
Variance 0.9068384767
Monotonicity Not monotonic
2024-12-02T16:40:52.536491 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.6488796473 3
 
< 0.1%
-0.3375352621 2
 
< 0.1%
-0.3589371741 2
 
< 0.1%
1.003489017 2
 
< 0.1%
-0.08759443462 2
 
< 0.1%
0.4954635501 2
 
< 0.1%
-0.8643878102 2
 
< 0.1%
0.2890025973 2
 
< 0.1%
-0.3313436806 2
 
< 0.1%
-0.5204463601 2
 
< 0.1%
Other values (498588) 499967
> 99.9%
(Missing) 12
 
< 0.1%
Value Count Frequency (%)
-9.199940681 1
< 0.1%
-9.122189522 1
< 0.1%
-9.097057343 1
< 0.1%
-8.548552513 1
< 0.1%
-8.387842178 1
< 0.1%
Value Count Frequency (%)
19.54344177 1
< 0.1%
18.55037498 1
< 0.1%
16.7430687 1
< 0.1%
15.69448185 1
< 0.1%
15.48580551 1
< 0.1%

feature_38
Real number (ℝ)

Distinct 498587
Distinct (%) 99.7%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.03246968855
Minimum -27.65107727
Maximum 15.60413361
Zeros 0
Zeros (%) 0.0%
Negative 242743
Negative (%) 48.5%
Memory size 1.9 MiB
2024-12-02T16:40:52.648443 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -27.65107727
5-th percentile -1.388153023
Q1 -0.4461056069
median 0.02239598148
Q3 0.4906490743
95-th percentile 1.526053548
Maximum 15.60413361
Range 43.25521088
Interquartile range (IQR) 0.9367546812

Descriptive statistics

Standard deviation 0.9501940608
Coefficient of variation (CV) 29.26403372
Kurtosis 12.07340527
Mean 0.03246968855
Median Absolute Deviation (MAD) 0.4683901668
Skewness -0.06694792211
Sum 16234.84428
Variance 0.9028688073
Monotonicity Not monotonic
2024-12-02T16:40:52.751885 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.3571316 3
 
< 0.1%
0.6488839388 3
 
< 0.1%
-0.1585389376 3
 
< 0.1%
-0.1596786976 2
 
< 0.1%
-0.5057793856 2
 
< 0.1%
-0.3829963207 2
 
< 0.1%
-0.9257175326 2
 
< 0.1%
-0.2137307376 2
 
< 0.1%
1.034113884 2
 
< 0.1%
-0.4240950942 2
 
< 0.1%
Other values (498577) 499977
> 99.9%
Value Count Frequency (%)
-27.65107727 1
< 0.1%
-24.77303886 1
< 0.1%
-22.84656906 1
< 0.1%
-19.60002708 1
< 0.1%
-19.44193649 1
< 0.1%
Value Count Frequency (%)
15.60413361 1
< 0.1%
15.2600069 1
< 0.1%
15.01883888 1
< 0.1%
14.40417767 1
< 0.1%
14.0585928 1
< 0.1%

feature_39
Real number (ℝ)

Missing 

Distinct 446412
Distinct (%) 99.7%
Missing 52194
Missing (%) 10.4%
Infinite 0
Infinite (%) 0.0%
Mean 0.002305807978
Minimum -4.157635689
Maximum 4.053874493
Zeros 0
Zeros (%) 0.0%
Negative 225521
Negative (%) 45.1%
Memory size 1.9 MiB
2024-12-02T16:40:52.858666 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.157635689
5-th percentile -1.630558729
Q1 -0.6608475149
median -0.008901538327
Q3 0.6658705771
95-th percentile 1.659377158
Maximum 4.053874493
Range 8.211509705
Interquartile range (IQR) 1.326718092

Descriptive statistics

Standard deviation 0.999026835
Coefficient of variation (CV) 433.2654082
Kurtosis 0.104722403
Mean 0.002305807978
Median Absolute Deviation (MAD) 0.6626125574
Skewness 0.00322241243
Sum 1032.554647
Variance 0.998054564
Monotonicity Not monotonic
2024-12-02T16:40:52.968377 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.7042967677 3
 
< 0.1%
-1.098285437 3
 
< 0.1%
-0.8940510154 3
 
< 0.1%
0.6850005984 3
 
< 0.1%
1.010704756 3
 
< 0.1%
1.452478051 3
 
< 0.1%
-0.5064842105 3
 
< 0.1%
-0.5244275928 3
 
< 0.1%
0.5690612197 3
 
< 0.1%
0.8838332295 2
 
< 0.1%
Other values (446402) 447777
89.6%
(Missing) 52194
 
10.4%
Value Count Frequency (%)
-4.157635689 1
< 0.1%
-4.002743244 1
< 0.1%
-3.931276321 1
< 0.1%
-3.92560482 1
< 0.1%
-3.875302553 1
< 0.1%
Value Count Frequency (%)
4.053874493 1
< 0.1%
3.913967371 1
< 0.1%
3.862822771 1
< 0.1%
3.849002361 1
< 0.1%
3.848561764 1
< 0.1%

feature_40
Real number (ℝ)

Distinct 496981
Distinct (%) 99.7%
Missing 1504
Missing (%) 0.3%
Infinite 0
Infinite (%) 0.0%
Mean 0.009612065106
Minimum -4.11613512
Maximum 4.224504471
Zeros 0
Zeros (%) 0.0%
Negative 243901
Negative (%) 48.8%
Memory size 1.9 MiB
2024-12-02T16:40:53.078256 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.11613512
5-th percentile -1.609126747
Q1 -0.5768327415
median 0.02276717592
Q3 0.5937866718
95-th percentile 1.607689887
Maximum 4.224504471
Range 8.340639114
Interquartile range (IQR) 1.170619413

Descriptive statistics

Standard deviation 0.957723856
Coefficient of variation (CV) 99.63767883
Kurtosis 0.4477639794
Mean 0.009612065106
Median Absolute Deviation (MAD) 0.5851380825
Skewness -0.03397137672
Sum 4791.576007
Variance 0.9172349572
Monotonicity Not monotonic
2024-12-02T16:40:53.189738 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.397412419 3
 
< 0.1%
0.9112131596 3
 
< 0.1%
0.409247756 3
 
< 0.1%
-0.4491654038 2
 
< 0.1%
-0.7754336596 2
 
< 0.1%
0.7545757294 2
 
< 0.1%
0.3896768093 2
 
< 0.1%
-0.9856032729 2
 
< 0.1%
1.224982023 2
 
< 0.1%
-1.069621921 2
 
< 0.1%
Other values (496971) 498473
99.7%
(Missing) 1504
 
0.3%
Value Count Frequency (%)
-4.11613512 1
< 0.1%
-4.076236725 1
< 0.1%
-4.057758331 1
< 0.1%
-4.011573792 1
< 0.1%
-3.877330303 1
< 0.1%
Value Count Frequency (%)
4.224504471 1
< 0.1%
3.958220482 1
< 0.1%
3.89481926 1
< 0.1%
3.836504459 1
< 0.1%
3.823943377 1
< 0.1%

feature_41
Real number (ℝ)

Missing 

Distinct 485310
Distinct (%) 99.7%
Missing 13201
Missing (%) 2.6%
Infinite 0
Infinite (%) 0.0%
Mean 0.01579467602
Minimum -3.927361727
Maximum 4.278652191
Zeros 0
Zeros (%) 0.0%
Negative 241589
Negative (%) 48.3%
Memory size 1.9 MiB
2024-12-02T16:40:53.300859 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.927361727
5-th percentile -1.618290877
Q1 -0.5896367729
median 0.008262136951
Q3 0.6398179531
95-th percentile 1.631730294
Maximum 4.278652191
Range 8.20601368
Interquartile range (IQR) 1.229454726

Descriptive statistics

Standard deviation 0.9756381512
Coefficient of variation (CV) 61.77006417
Kurtosis 0.3254479468
Mean 0.01579467602
Median Absolute Deviation (MAD) 0.6142394543
Skewness -0.02808577754
Sum 7688.832491
Variance 0.9518697858
Monotonicity Not monotonic
2024-12-02T16:40:53.407710 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.306340694 3
 
< 0.1%
0.2195910513 3
 
< 0.1%
1.000375986 3
 
< 0.1%
1.027394414 3
 
< 0.1%
-0.5414692163 3
 
< 0.1%
0.5359613895 3
 
< 0.1%
-0.5710291266 3
 
< 0.1%
0.559212327 3
 
< 0.1%
-0.5007971525 2
 
< 0.1%
0.4949369729 2
 
< 0.1%
Other values (485300) 486771
97.4%
(Missing) 13201
 
2.6%
Value Count Frequency (%)
-3.927361727 1
< 0.1%
-3.811695099 1
< 0.1%
-3.806227922 1
< 0.1%
-3.789630413 1
< 0.1%
-3.780466318 1
< 0.1%
Value Count Frequency (%)
4.278652191 1
< 0.1%
4.226827621 1
< 0.1%
3.9529953 1
< 0.1%
3.938815355 1
< 0.1%
3.833533287 1
< 0.1%

feature_42
Real number (ℝ)

Missing 

Distinct 446487
Distinct (%) 99.7%
Missing 52194
Missing (%) 10.4%
Infinite 0
Infinite (%) 0.0%
Mean -0.02107120583
Minimum -4.099381924
Maximum 4.170919895
Zeros 0
Zeros (%) 0.0%
Negative 224618
Negative (%) 44.9%
Memory size 1.9 MiB
2024-12-02T16:40:53.523538 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.099381924
5-th percentile -1.690924495
Q1 -0.6866119057
median -0.004035684047
Q3 0.640419364
95-th percentile 1.619667381
Maximum 4.170919895
Range 8.270301819
Interquartile range (IQR) 1.32703127

Descriptive statistics

Standard deviation 1.001842856
Coefficient of variation (CV) -47.5455873
Kurtosis 0.08295501024
Mean -0.02107120583
Median Absolute Deviation (MAD) 0.6630327106
Skewness -0.008598803543
Sum -9435.812399
Variance 1.003689051
Monotonicity Not monotonic
2024-12-02T16:40:53.628652 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.818791151 2
 
< 0.1%
1.500461102 2
 
< 0.1%
-0.992915988 2
 
< 0.1%
1.325211525 2
 
< 0.1%
0.2606250942 2
 
< 0.1%
0.2504702508 2
 
< 0.1%
1.415203691 2
 
< 0.1%
-0.7398117185 2
 
< 0.1%
1.247584939 2
 
< 0.1%
-0.9074696898 2
 
< 0.1%
Other values (446477) 447786
89.6%
(Missing) 52194
 
10.4%
Value Count Frequency (%)
-4.099381924 1
< 0.1%
-3.97363615 1
< 0.1%
-3.966285467 1
< 0.1%
-3.914201021 1
< 0.1%
-3.894129753 1
< 0.1%
Value Count Frequency (%)
4.170919895 1
< 0.1%
3.800098181 1
< 0.1%
3.799063683 1
< 0.1%
3.793946028 1
< 0.1%
3.740844011 1
< 0.1%

feature_43
Real number (ℝ)

Distinct 496928
Distinct (%) 99.7%
Missing 1504
Missing (%) 0.3%
Infinite 0
Infinite (%) 0.0%
Mean -0.03086606187
Minimum -4.013085842
Maximum 4.113506317
Zeros 0
Zeros (%) 0.0%
Negative 261789
Negative (%) 52.4%
Memory size 1.9 MiB
2024-12-02T16:40:53.747727 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.013085842
5-th percentile -1.614410639
Q1 -0.6226469129
median -0.05443266965
Q3 0.5576580018
95-th percentile 1.607622236
Maximum 4.113506317
Range 8.126592636
Interquartile range (IQR) 1.180304915

Descriptive statistics

Standard deviation 0.9603025913
Coefficient of variation (CV) -31.11192465
Kurtosis 0.4252080619
Mean -0.03086606187
Median Absolute Deviation (MAD) 0.5890738964
Skewness 0.06193858385
Sum -15386.60838
Variance 0.9221810102
Monotonicity Not monotonic
2024-12-02T16:40:53.867487 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.3854654729 3
 
< 0.1%
-0.5282802582 3
 
< 0.1%
1.183355927 3
 
< 0.1%
1.060781479 3
 
< 0.1%
0.8281162977 3
 
< 0.1%
1.196347594 3
 
< 0.1%
-0.5591697693 2
 
< 0.1%
0.9199942946 2
 
< 0.1%
-0.7364082932 2
 
< 0.1%
2.185047865 2
 
< 0.1%
Other values (496918) 498470
99.7%
(Missing) 1504
 
0.3%
Value Count Frequency (%)
-4.013085842 1
< 0.1%
-3.96022439 1
< 0.1%
-3.907875299 1
< 0.1%
-3.9065516 1
< 0.1%
-3.894368649 1
< 0.1%
Value Count Frequency (%)
4.113506317 1
< 0.1%
3.973531485 1
< 0.1%
3.907997847 1
< 0.1%
3.904762268 1
< 0.1%
3.888849497 1
< 0.1%

feature_44
Real number (ℝ)

Missing 

Distinct 485331
Distinct (%) 99.7%
Missing 13201
Missing (%) 2.6%
Infinite 0
Infinite (%) 0.0%
Mean -0.03692052361
Minimum -4.301183701
Maximum 4.624768257
Zeros 0
Zeros (%) 0.0%
Negative 251756
Negative (%) 50.4%
Memory size 1.9 MiB
2024-12-02T16:40:53.986688 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.301183701
5-th percentile -1.655083859
Q1 -0.6627205908
median -0.03781785816
Q3 0.5727301836
95-th percentile 1.61591804
Maximum 4.624768257
Range 8.925951958
Interquartile range (IQR) 1.235450774

Descriptive statistics

Standard deviation 0.9793341756
Coefficient of variation (CV) -26.52546822
Kurtosis 0.2942889333
Mean -0.03692052361
Median Absolute Deviation (MAD) 0.6176233292
Skewness 0.04569425061
Sum -17972.87397
Variance 0.9590954185
Monotonicity Not monotonic
2024-12-02T16:40:54.096242 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.2747921348 3
 
< 0.1%
-0.7161897421 3
 
< 0.1%
0.5246141553 3
 
< 0.1%
0.7079162598 3
 
< 0.1%
0.6119175553 3
 
< 0.1%
-0.3675196171 2
 
< 0.1%
0.229523778 2
 
< 0.1%
0.8330017924 2
 
< 0.1%
-1.594204068 2
 
< 0.1%
0.4602886438 2
 
< 0.1%
Other values (485321) 486774
97.4%
(Missing) 13201
 
2.6%
Value Count Frequency (%)
-4.301183701 1
< 0.1%
-4.221096039 1
< 0.1%
-4.112690449 1
< 0.1%
-3.928262472 1
< 0.1%
-3.918310881 1
< 0.1%
Value Count Frequency (%)
4.624768257 1
< 0.1%
3.989132404 1
< 0.1%
3.887536049 1
< 0.1%
3.854987144 1
< 0.1%
3.834117651 1
< 0.1%

feature_45
Real number (ℝ)

Missing 

Distinct 491729
Distinct (%) 99.7%
Missing 6620
Missing (%) 1.3%
Infinite 0
Infinite (%) 0.0%
Mean -0.0003683792901
Minimum -5.539638042
Maximum 4.94513464
Zeros 0
Zeros (%) 0.0%
Negative 244503
Negative (%) 48.9%
Memory size 1.9 MiB
2024-12-02T16:40:54.197324 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.539638042
5-th percentile -1.659045297
Q1 -0.6787044257
median 0.01115717692
Q3 0.6820726097
95-th percentile 1.635447574
Maximum 4.94513464
Range 10.48477268
Interquartile range (IQR) 1.360777035

Descriptive statistics

Standard deviation 1.006309986
Coefficient of variation (CV) -2731.722475
Kurtosis 0.01448470913
Mean -0.0003683792901
Median Absolute Deviation (MAD) 0.6805981398
Skewness -0.03996258602
Sum -181.7509741
Variance 1.012659788
Monotonicity Not monotonic
2024-12-02T16:40:54.315257 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.8231022358 3
 
< 0.1%
1.124152184 3
 
< 0.1%
0.9491440058 3
 
< 0.1%
-1.15744698 2
 
< 0.1%
2.262953043 2
 
< 0.1%
-0.597743094 2
 
< 0.1%
-0.6018834114 2
 
< 0.1%
1.930369854 2
 
< 0.1%
-0.4492419362 2
 
< 0.1%
0.9479165077 2
 
< 0.1%
Other values (491719) 493357
98.7%
(Missing) 6620
 
1.3%
Value Count Frequency (%)
-5.539638042 1
< 0.1%
-4.150847912 1
< 0.1%
-4.060188293 1
< 0.1%
-3.937203884 1
< 0.1%
-3.931028843 1
< 0.1%
Value Count Frequency (%)
4.94513464 1
< 0.1%
4.419423103 1
< 0.1%
4.354866505 1
< 0.1%
4.2434268 1
< 0.1%
4.227104187 1
< 0.1%

feature_46
Real number (ℝ)

Missing 

Distinct 491642
Distinct (%) 99.6%
Missing 6620
Missing (%) 1.3%
Infinite 0
Infinite (%) 0.0%
Mean -0.008639593646
Minimum -4.508919716
Maximum 3.882408619
Zeros 0
Zeros (%) 0.0%
Negative 247694
Negative (%) 49.5%
Memory size 1.9 MiB
2024-12-02T16:40:54.426693 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.508919716
5-th percentile -1.690157264
Q1 -0.7060116082
median -0.005358650349
Q3 0.6916954517
95-th percentile 1.644609177
Maximum 3.882408619
Range 8.391328812
Interquartile range (IQR) 1.39770706

Descriptive statistics

Standard deviation 1.020192027
Coefficient of variation (CV) -118.0833346
Kurtosis -0.07787401229
Mean -0.008639593646
Median Absolute Deviation (MAD) 0.6988620758
Skewness 0.002656266792
Sum -4262.602713
Variance 1.040791869
Monotonicity Not monotonic
2024-12-02T16:40:54.647537 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.8688049912 3
 
< 0.1%
-0.5539618134 3
 
< 0.1%
-1.057606816 3
 
< 0.1%
-1.221694589 3
 
< 0.1%
-1.543671846 3
 
< 0.1%
-0.7141056657 3
 
< 0.1%
-1.713664293 3
 
< 0.1%
0.5412735343 3
 
< 0.1%
0.6899349689 3
 
< 0.1%
-1.405686378 2
 
< 0.1%
Other values (491632) 493351
98.7%
(Missing) 6620
 
1.3%
Value Count Frequency (%)
-4.508919716 1
< 0.1%
-4.054172039 1
< 0.1%
-4.010910988 1
< 0.1%
-3.999659538 1
< 0.1%
-3.996290684 1
< 0.1%
Value Count Frequency (%)
3.882408619 1
< 0.1%
3.871715307 1
< 0.1%
3.826714754 1
< 0.1%
3.78990221 1
< 0.1%
3.770305872 1
< 0.1%

feature_47
Real number (ℝ)

Skewed 

Distinct 498751
Distinct (%) 99.8%
Missing 4
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.01152888722
Minimum -36.30463028
Maximum 281.4337769
Zeros 0
Zeros (%) 0.0%
Negative 245506
Negative (%) 49.1%
Memory size 1.9 MiB
2024-12-02T16:40:54.751564 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -36.30463028
5-th percentile -1.345575303
Q1 -0.3427332565
median 0.009339903947
Q3 0.3413860947
95-th percentile 1.24066931
Maximum 281.4337769
Range 317.7384033
Interquartile range (IQR) 0.6841193512

Descriptive statistics

Standard deviation 1.062158465
Coefficient of variation (CV) -92.1301809
Kurtosis 9905.015625
Mean -0.01152888722
Median Absolute Deviation (MAD) 0.3413656652
Skewness 36.766922
Sum -5764.397496
Variance 1.128180504
Monotonicity Not monotonic
2024-12-02T16:40:54.857252 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.4812633991 3
 
< 0.1%
-0.1415510029 2
 
< 0.1%
0.139751032 2
 
< 0.1%
0.7976518869 2
 
< 0.1%
0.6013793349 2
 
< 0.1%
1.00828886 2
 
< 0.1%
-0.5014432073 2
 
< 0.1%
0.9071481824 2
 
< 0.1%
0.3047842085 2
 
< 0.1%
-0.3595589101 2
 
< 0.1%
Other values (498741) 499975
> 99.9%
(Missing) 4
 
< 0.1%
Value Count Frequency (%)
-36.30463028 1
< 0.1%
-35.31797028 1
< 0.1%
-30.65669441 1
< 0.1%
-29.78087997 1
< 0.1%
-28.03242874 1
< 0.1%
Value Count Frequency (%)
281.4337769 1
< 0.1%
34.72402573 1
< 0.1%
29.72392654 1
< 0.1%
25.05718231 1
< 0.1%
24.77782059 1
< 0.1%

feature_48
Real number (ℝ)

Distinct 499143
Distinct (%) 99.8%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.001464874121
Minimum -118.6315155
Maximum 94.40014648
Zeros 0
Zeros (%) 0.0%
Negative 276386
Negative (%) 55.3%
Memory size 1.9 MiB
2024-12-02T16:40:54.974015 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -118.6315155
5-th percentile -1.085875183
Q1 -0.1728043817
median -0.003429234843
Q3 0.1764452606
95-th percentile 1.071785134
Maximum 94.40014648
Range 213.031662
Interquartile range (IQR) 0.3492496423

Descriptive statistics

Standard deviation 0.9330658913
Coefficient of variation (CV) -636.9597755
Kurtosis 1248.265747
Mean -0.001464874121
Median Absolute Deviation (MAD) 0.174549371
Skewness -1.607405782
Sum -732.4370605
Variance 0.8706119061
Monotonicity Not monotonic
2024-12-02T16:40:55.078540 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.08160568774 3
 
< 0.1%
0.2553111613 3
 
< 0.1%
-0.003646543017 2
 
< 0.1%
0.3692500591 2
 
< 0.1%
0.1211569011 2
 
< 0.1%
-0.01001522318 2
 
< 0.1%
-0.004141955636 2
 
< 0.1%
-0.2398112714 2
 
< 0.1%
0.430498749 2
 
< 0.1%
-0.3333397508 2
 
< 0.1%
Other values (499133) 499978
> 99.9%
Value Count Frequency (%)
-118.6315155 1
< 0.1%
-82.08332062 1
< 0.1%
-57.27763367 1
< 0.1%
-54.1389122 1
< 0.1%
-52.49581909 1
< 0.1%
Value Count Frequency (%)
94.40014648 1
< 0.1%
79.16751862 1
< 0.1%
64.10925293 1
< 0.1%
56.56765366 1
< 0.1%
55.58686066 1
< 0.1%

feature_49
Real number (ℝ)

Distinct 498832
Distinct (%) 99.8%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.004190700874
Minimum -84.32969666
Maximum 89.43202209
Zeros 0
Zeros (%) 0.0%
Negative 252019
Negative (%) 50.4%
Memory size 1.9 MiB
2024-12-02T16:40:55.177477 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -84.32969666
5-th percentile -1.229613537
Q1 -0.2921891287
median -0.002608174691
Q3 0.2998096272
95-th percentile 1.189319038
Maximum 89.43202209
Range 173.7617188
Interquartile range (IQR) 0.5919987559

Descriptive statistics

Standard deviation 1.009000063
Coefficient of variation (CV) -240.7711963
Kurtosis 589.7906494
Mean -0.004190700874
Median Absolute Deviation (MAD) 0.296169281
Skewness -0.6188506484
Sum -2095.350437
Variance 1.018081188
Monotonicity Not monotonic
2024-12-02T16:40:55.287340 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.5357276797 3
 
< 0.1%
0.5340114832 3
 
< 0.1%
-0.5142431259 3
 
< 0.1%
-0.8728457093 3
 
< 0.1%
-0.9402820468 3
 
< 0.1%
0.2619815469 3
 
< 0.1%
0.9410682321 2
 
< 0.1%
-0.4687408209 2
 
< 0.1%
-0.910248518 2
 
< 0.1%
0.833694458 2
 
< 0.1%
Other values (498822) 499974
> 99.9%
Value Count Frequency (%)
-84.32969666 1
< 0.1%
-67.08364868 1
< 0.1%
-64.93643951 1
< 0.1%
-56.49518967 1
< 0.1%
-53.38616943 1
< 0.1%
Value Count Frequency (%)
89.43202209 1
< 0.1%
78.04307556 1
< 0.1%
59.53105927 1
< 0.1%
52.68017197 1
< 0.1%
48.20653915 1
< 0.1%

feature_50
Real number (ℝ)

Missing 

Distinct 447485
Distinct (%) 99.7%
Missing 51085
Missing (%) 10.2%
Infinite 0
Infinite (%) 0.0%
Mean -0.05079809991
Minimum -3.874345779
Maximum 3.948306799
Zeros 0
Zeros (%) 0.0%
Negative 232837
Negative (%) 46.6%
Memory size 1.9 MiB
2024-12-02T16:40:55.398317 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.874345779
5-th percentile -1.75818646
Q1 -0.7553679645
median -0.04831909016
Q3 0.6520808935
95-th percentile 1.644701016
Maximum 3.948306799
Range 7.822652817
Interquartile range (IQR) 1.407448858

Descriptive statistics

Standard deviation 1.031406045
Coefficient of variation (CV) -20.30402804
Kurtosis -0.1182793751
Mean -0.05079809991
Median Absolute Deviation (MAD) 0.7036519647
Skewness 0.01079805102
Sum -22804.02902
Variance 1.063798428
Monotonicity Not monotonic
2024-12-02T16:40:55.515166 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.019737244 3
 
< 0.1%
0.5806235075 3
 
< 0.1%
-0.8486974835 2
 
< 0.1%
0.6602340937 2
 
< 0.1%
1.577605367 2
 
< 0.1%
0.6258596778 2
 
< 0.1%
-0.8082140684 2
 
< 0.1%
1.349466562 2
 
< 0.1%
-0.6407263279 2
 
< 0.1%
-0.8162988424 2
 
< 0.1%
Other values (447475) 448893
89.8%
(Missing) 51085
 
10.2%
Value Count Frequency (%)
-3.874345779 1
< 0.1%
-3.865016937 1
< 0.1%
-3.845760822 1
< 0.1%
-3.825664282 1
< 0.1%
-3.791206598 1
< 0.1%
Value Count Frequency (%)
3.948306799 1
< 0.1%
3.897458792 1
< 0.1%
3.843251705 1
< 0.1%
3.839706659 1
< 0.1%
3.830324888 1
< 0.1%

feature_51
Real number (ℝ)

Distinct 498043
Distinct (%) 99.7%
Missing 248
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.07696336798
Minimum -4.094660759
Maximum 3.94156003
Zeros 0
Zeros (%) 0.0%
Negative 276427
Negative (%) 55.3%
Memory size 1.9 MiB
2024-12-02T16:40:55.631661 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.094660759
5-th percentile -1.613048983
Q1 -0.7176855206
median -0.1279655546
Q3 0.551254198
95-th percentile 1.575086361
Maximum 3.94156003
Range 8.036220551
Interquartile range (IQR) 1.268939719

Descriptive statistics

Standard deviation 0.9679335356
Coefficient of variation (CV) -12.57654857
Kurtosis 0.2090735286
Mean -0.07696336798
Median Absolute Deviation (MAD) 0.6300880909
Skewness 0.1427432746
Sum -38462.59707
Variance 0.9368953705
Monotonicity Not monotonic
2024-12-02T16:40:55.751434 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.6924652457 3
 
< 0.1%
-1.082686782 3
 
< 0.1%
-0.562122643 3
 
< 0.1%
-0.6316387057 3
 
< 0.1%
0.7077580094 2
 
< 0.1%
0.5778177381 2
 
< 0.1%
-0.3381395936 2
 
< 0.1%
-1.012340665 2
 
< 0.1%
0.5338711143 2
 
< 0.1%
0.1979704052 2
 
< 0.1%
Other values (498033) 499728
99.9%
(Missing) 248
 
< 0.1%
Value Count Frequency (%)
-4.094660759 1
< 0.1%
-3.929955721 1
< 0.1%
-3.888376713 1
< 0.1%
-3.857450724 1
< 0.1%
-3.814663887 1
< 0.1%
Value Count Frequency (%)
3.94156003 1
< 0.1%
3.924211979 1
< 0.1%
3.902924299 1
< 0.1%
3.852649927 1
< 0.1%
3.842525005 1
< 0.1%

feature_52
Real number (ℝ)

Missing 

Distinct 486245
Distinct (%) 99.7%
Missing 12079
Missing (%) 2.4%
Infinite 0
Infinite (%) 0.0%
Mean -0.0706432577
Minimum -4.176709652
Maximum 3.978308916
Zeros 0
Zeros (%) 0.0%
Negative 259926
Negative (%) 52.0%
Memory size 1.9 MiB
2024-12-02T16:40:55.874212 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.176709652
5-th percentile -1.695313931
Q1 -0.7778459191
median -0.08449811488
Q3 0.6142808795
95-th percentile 1.628190756
Maximum 3.978308916
Range 8.155018806
Interquartile range (IQR) 1.392126799

Descriptive statistics

Standard deviation 1.016031981
Coefficient of variation (CV) -14.3825754
Kurtosis -0.09710158408
Mean -0.0706432577
Median Absolute Deviation (MAD) 0.69594872
Skewness 0.08558919281
Sum -34468.32894
Variance 1.032320976
Monotonicity Not monotonic
2024-12-02T16:40:55.990927 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.047991633 3
 
< 0.1%
1.453192353 3
 
< 0.1%
1.188048482 3
 
< 0.1%
-1.456561923 3
 
< 0.1%
-0.5984047651 2
 
< 0.1%
0.6315407753 2
 
< 0.1%
-1.472998619 2
 
< 0.1%
-0.547794044 2
 
< 0.1%
0.9673634768 2
 
< 0.1%
-0.7563323379 2
 
< 0.1%
Other values (486235) 487897
97.6%
(Missing) 12079
 
2.4%
Value Count Frequency (%)
-4.176709652 1
< 0.1%
-4.164012909 1
< 0.1%
-3.96557641 1
< 0.1%
-3.898272991 1
< 0.1%
-3.814315081 1
< 0.1%
Value Count Frequency (%)
3.978308916 1
< 0.1%
3.794792414 1
< 0.1%
3.775348186 1
< 0.1%
3.769748211 1
< 0.1%
3.740460396 1
< 0.1%

feature_53
Real number (ℝ)

Missing 

Distinct 447581
Distinct (%) 99.7%
Missing 51085
Missing (%) 10.2%
Infinite 0
Infinite (%) 0.0%
Mean 0.04700185324
Minimum -4.156391144
Maximum 5.705533504
Zeros 0
Zeros (%) 0.0%
Negative 215811
Negative (%) 43.2%
Memory size 1.9 MiB
2024-12-02T16:40:56.108883 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.156391144
5-th percentile -1.669725895
Q1 -0.6580457091
median 0.05087039992
Q3 0.7584984303
95-th percentile 1.751843762
Maximum 5.705533504
Range 9.861925125
Interquartile range (IQR) 1.416544139

Descriptive statistics

Standard deviation 1.036789775
Coefficient of variation (CV) 22.05848713
Kurtosis -0.1419164389
Mean 0.04700185324
Median Absolute Deviation (MAD) 0.7083197832
Skewness -0.03415083513
Sum 21099.83695
Variance 1.074933052
Monotonicity Not monotonic
2024-12-02T16:40:56.228446 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.442438006 3
 
< 0.1%
-0.6650885344 3
 
< 0.1%
0.3128378689 2
 
< 0.1%
-0.5042399764 2
 
< 0.1%
0.3230814338 2
 
< 0.1%
0.5772624016 2
 
< 0.1%
1.011739373 2
 
< 0.1%
0.586155653 2
 
< 0.1%
2.031885147 2
 
< 0.1%
-1.436600327 2
 
< 0.1%
Other values (447571) 448893
89.8%
(Missing) 51085
 
10.2%
Value Count Frequency (%)
-4.156391144 1
< 0.1%
-4.13039732 1
< 0.1%
-3.985071898 1
< 0.1%
-3.900571346 1
< 0.1%
-3.890018463 1
< 0.1%
Value Count Frequency (%)
5.705533504 1
< 0.1%
4.090950012 1
< 0.1%
3.979929209 1
< 0.1%
3.908968925 1
< 0.1%
3.87137723 1
< 0.1%

feature_54
Real number (ℝ)

Distinct 498134
Distinct (%) 99.7%
Missing 248
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean 0.04186110081
Minimum -3.941690922
Maximum 3.847171068
Zeros 0
Zeros (%) 0.0%
Negative 232176
Negative (%) 46.4%
Memory size 1.9 MiB
2024-12-02T16:40:56.340134 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.941690922
5-th percentile -1.588468844
Q1 -0.569693312
median 0.08043435961
Q3 0.6534503847
95-th percentile 1.606665784
Maximum 3.847171068
Range 7.788862228
Interquartile range (IQR) 1.223143697

Descriptive statistics

Standard deviation 0.9595871568
Coefficient of variation (CV) 22.92312286
Kurtosis 0.2703276873
Mean 0.04186110081
Median Absolute Deviation (MAD) 0.608882606
Skewness -0.08842843771
Sum 20920.16885
Variance 0.9208075404
Monotonicity Not monotonic
2024-12-02T16:40:56.457314 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.8701264858 3
 
< 0.1%
-1.03787148 3
 
< 0.1%
-1.183031201 3
 
< 0.1%
-0.5242832303 3
 
< 0.1%
-1.298806429 3
 
< 0.1%
0.9345569015 2
 
< 0.1%
0.3765442371 2
 
< 0.1%
0.7984472513 2
 
< 0.1%
-0.97113657 2
 
< 0.1%
0.8112601638 2
 
< 0.1%
Other values (498124) 499727
99.9%
(Missing) 248
 
< 0.1%
Value Count Frequency (%)
-3.941690922 1
< 0.1%
-3.924353123 1
< 0.1%
-3.900155544 1
< 0.1%
-3.885807753 1
< 0.1%
-3.8636446 1
< 0.1%
Value Count Frequency (%)
3.847171068 1
< 0.1%
3.83053422 1
< 0.1%
3.829890728 1
< 0.1%
3.814319849 1
< 0.1%
3.788611889 1
< 0.1%

feature_55
Real number (ℝ)

Missing 

Distinct 486331
Distinct (%) 99.7%
Missing 12079
Missing (%) 2.4%
Infinite 0
Infinite (%) 0.0%
Mean 0.05886519054
Minimum -3.845460892
Maximum 4.003165245
Zeros 0
Zeros (%) 0.0%
Negative 229645
Negative (%) 45.9%
Memory size 1.9 MiB
2024-12-02T16:40:56.586383 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.845460892
5-th percentile -1.638160229
Q1 -0.6245436668
median 0.0758594051
Q3 0.7652829289
95-th percentile 1.672125816
Maximum 4.003165245
Range 7.848626137
Interquartile range (IQR) 1.389826596

Descriptive statistics

Standard deviation 1.012806535
Coefficient of variation (CV) 17.20552546
Kurtosis -0.08586733788
Mean 0.05886519054
Median Absolute Deviation (MAD) 0.6947177052
Skewness -0.09426253289
Sum 28721.56263
Variance 1.025777102
Monotonicity Not monotonic
2024-12-02T16:40:56.705893 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-2.019253254 3
 
< 0.1%
-1.863805771 3
 
< 0.1%
-0.809992969 3
 
< 0.1%
-0.7708457112 3
 
< 0.1%
1.374387503 3
 
< 0.1%
0.76203686 2
 
< 0.1%
0.9494466782 2
 
< 0.1%
1.067303777 2
 
< 0.1%
-0.7258051038 2
 
< 0.1%
-0.6406127214 2
 
< 0.1%
Other values (486321) 487896
97.6%
(Missing) 12079
 
2.4%
Value Count Frequency (%)
-3.845460892 1
< 0.1%
-3.837227106 1
< 0.1%
-3.81821084 1
< 0.1%
-3.782160044 1
< 0.1%
-3.775542974 1
< 0.1%
Value Count Frequency (%)
4.003165245 1
< 0.1%
3.978884697 1
< 0.1%
3.976181746 1
< 0.1%
3.902043581 1
< 0.1%
3.89556241 1
< 0.1%

feature_56
Real number (ℝ)

Distinct 498337
Distinct (%) 99.7%
Missing 3
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.02446688122
Minimum -3.946348667
Maximum 4.01807642
Zeros 0
Zeros (%) 0.0%
Negative 252917
Negative (%) 50.6%
Memory size 1.9 MiB
2024-12-02T16:40:56.941837 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -3.946348667
5-th percentile -1.709778571
Q1 -0.7054128051
median -0.01484446786
Q3 0.6642097831
95-th percentile 1.624088335
Maximum 4.01807642
Range 7.964425087
Interquartile range (IQR) 1.369622588

Descriptive statistics

Standard deviation 1.011443138
Coefficient of variation (CV) -41.33927529
Kurtosis -0.05975538492
Mean -0.02446688122
Median Absolute Deviation (MAD) 0.6845125556
Skewness -0.04146265239
Sum -12233.36721
Variance 1.023017287
Monotonicity Not monotonic
2024-12-02T16:40:57.057540 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
1.250667214 3
 
< 0.1%
-0.9131041169 3
 
< 0.1%
-1.401482582 3
 
< 0.1%
0.7830551267 2
 
< 0.1%
-1.387059093 2
 
< 0.1%
-0.1584378928 2
 
< 0.1%
0.7367316484 2
 
< 0.1%
-0.8291781545 2
 
< 0.1%
0.7409076691 2
 
< 0.1%
0.2954132557 2
 
< 0.1%
Other values (498327) 499974
> 99.9%
(Missing) 3
 
< 0.1%
Value Count Frequency (%)
-3.946348667 1
< 0.1%
-3.930194855 1
< 0.1%
-3.888908863 1
< 0.1%
-3.850887537 1
< 0.1%
-3.826653242 1
< 0.1%
Value Count Frequency (%)
4.01807642 1
< 0.1%
3.887528181 1
< 0.1%
3.817961693 1
< 0.1%
3.805371284 1
< 0.1%
3.797285795 1
< 0.1%

feature_57
Real number (ℝ)

Distinct 498268
Distinct (%) 99.7%
Missing 3
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean 0.01625513668
Minimum -4.025580883
Maximum 4.020429611
Zeros 0
Zeros (%) 0.0%
Negative 248320
Negative (%) 49.7%
Memory size 1.9 MiB
2024-12-02T16:40:57.177272 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.025580883
5-th percentile -1.683117628
Q1 -0.6923317313
median 0.009328158572
Q3 0.7221646905
95-th percentile 1.735843754
Maximum 4.020429611
Range 8.046010971
Interquartile range (IQR) 1.414496422

Descriptive statistics

Standard deviation 1.034769893
Coefficient of variation (CV) 63.65802473
Kurtosis -0.1394121796
Mean 0.01625513668
Median Absolute Deviation (MAD) 0.707377255
Skewness 0.02165616862
Sum 8127.519574
Variance 1.070748687
Monotonicity Not monotonic
2024-12-02T16:40:57.290505 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.9692776799 2
 
< 0.1%
1.205516934 2
 
< 0.1%
-0.5124160647 2
 
< 0.1%
-1.487130284 2
 
< 0.1%
-1.273567915 2
 
< 0.1%
-0.1278613955 2
 
< 0.1%
-1.097470403 2
 
< 0.1%
-1.528571725 2
 
< 0.1%
0.5987502933 2
 
< 0.1%
0.3858349323 2
 
< 0.1%
Other values (498258) 499977
> 99.9%
(Missing) 3
 
< 0.1%
Value Count Frequency (%)
-4.025580883 1
< 0.1%
-3.971288919 1
< 0.1%
-3.848100424 1
< 0.1%
-3.804870367 1
< 0.1%
-3.77578783 1
< 0.1%
Value Count Frequency (%)
4.020429611 1
< 0.1%
3.879882336 1
< 0.1%
3.86631012 1
< 0.1%
3.858033657 1
< 0.1%
3.825950623 1
< 0.1%

feature_58
Real number (ℝ)

Missing 

Distinct 493570
Distinct (%) 99.8%
Missing 5204
Missing (%) 1.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01148088189
Minimum -33.35813904
Maximum 23.60218811
Zeros 0
Zeros (%) 0.0%
Negative 245652
Negative (%) 49.1%
Memory size 1.9 MiB
2024-12-02T16:40:57.409135 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -33.35813904
5-th percentile -1.491416246
Q1 -0.3973325863
median 0.004395518685
Q3 0.3936154768
95-th percentile 1.394914418
Maximum 23.60218811
Range 56.96032715
Interquartile range (IQR) 0.7909480631

Descriptive statistics

Standard deviation 0.9688873887
Coefficient of variation (CV) -84.39137327
Kurtosis 18.77752876
Mean -0.01148088189
Median Absolute Deviation (MAD) 0.3955038488
Skewness -0.225467205
Sum -5680.694434
Variance 0.9387427568
Monotonicity Not monotonic
2024-12-02T16:40:57.514966 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.1548079252 3
 
< 0.1%
-1.318931818 2
 
< 0.1%
-0.07572758943 2
 
< 0.1%
0.3055964708 2
 
< 0.1%
-0.2240748852 2
 
< 0.1%
-0.2938145399 2
 
< 0.1%
-1.562343717 2
 
< 0.1%
1.27464509 2
 
< 0.1%
-0.9082568288 2
 
< 0.1%
1.614912271 2
 
< 0.1%
Other values (493560) 494775
99.0%
(Missing) 5204
 
1.0%
Value Count Frequency (%)
-33.35813904 1
< 0.1%
-24.55794525 1
< 0.1%
-23.9149456 1
< 0.1%
-23.20548058 1
< 0.1%
-19.03388786 1
< 0.1%
Value Count Frequency (%)
23.60218811 1
< 0.1%
18.2592659 1
< 0.1%
17.76036263 1
< 0.1%
17.31402397 1
< 0.1%
15.16632271 1
< 0.1%

feature_59
Real number (ℝ)

Distinct 499096
Distinct (%) 99.8%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.002968938773
Minimum -55.63005066
Maximum 31.19560814
Zeros 0
Zeros (%) 0.0%
Negative 258306
Negative (%) 51.7%
Memory size 1.9 MiB
2024-12-02T16:40:57.623597 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -55.63005066
5-th percentile -1.289327043
Q1 -0.2114835717
median -0.003776898608
Q3 0.2121734656
95-th percentile 1.272997731
Maximum 31.19560814
Range 86.82566071
Interquartile range (IQR) 0.4236570373

Descriptive statistics

Standard deviation 0.9536424875
Coefficient of variation (CV) -321.2065187
Kurtosis 69.26409149
Mean -0.002968938773
Median Absolute Deviation (MAD) 0.2117388248
Skewness -0.5830149651
Sum -1484.469386
Variance 0.9094339609
Monotonicity Not monotonic
2024-12-02T16:40:57.727520 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.2813527882 3
 
< 0.1%
0.3442752659 3
 
< 0.1%
0.1189394668 2
 
< 0.1%
-0.3077863753 2
 
< 0.1%
0.2994238138 2
 
< 0.1%
-0.1393259466 2
 
< 0.1%
0.1308768839 2
 
< 0.1%
0.06949160993 2
 
< 0.1%
-0.3530267477 2
 
< 0.1%
-0.05276863649 2
 
< 0.1%
Other values (499086) 499978
> 99.9%
Value Count Frequency (%)
-55.63005066 1
< 0.1%
-37.80514526 1
< 0.1%
-32.1918869 1
< 0.1%
-31.25870705 1
< 0.1%
-30.52370453 1
< 0.1%
Value Count Frequency (%)
31.19560814 1
< 0.1%
25.9780159 1
< 0.1%
24.50915527 1
< 0.1%
23.08828735 1
< 0.1%
20.71957207 1
< 0.1%

feature_60
Real number (ℝ)

Distinct 498821
Distinct (%) 99.8%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.006661247676
Minimum -42.76401138
Maximum 21.36289406
Zeros 0
Zeros (%) 0.0%
Negative 250855
Negative (%) 50.2%
Memory size 1.9 MiB
2024-12-02T16:40:57.828414 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -42.76401138
5-th percentile -1.399801487
Q1 -0.3323045745
median -0.001280503522
Q3 0.3389867917
95-th percentile 1.343025368
Maximum 21.36289406
Range 64.12690735
Interquartile range (IQR) 0.6712913662

Descriptive statistics

Standard deviation 0.9668251276
Coefficient of variation (CV) -145.1417474
Kurtosis 45.23948669
Mean -0.006661247676
Median Absolute Deviation (MAD) 0.3358351886
Skewness -0.709997654
Sum -3330.623838
Variance 0.934750855
Monotonicity Not monotonic
2024-12-02T16:40:57.943921 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.7332335114 3
 
< 0.1%
0.08087851852 3
 
< 0.1%
0.5422455668 3
 
< 0.1%
0.744022727 3
 
< 0.1%
-0.5241795182 2
 
< 0.1%
-0.4613354504 2
 
< 0.1%
-0.410481751 2
 
< 0.1%
-0.2086943984 2
 
< 0.1%
0.2902717888 2
 
< 0.1%
0.5950189829 2
 
< 0.1%
Other values (498811) 499976
> 99.9%
Value Count Frequency (%)
-42.76401138 1
< 0.1%
-39.99964523 1
< 0.1%
-37.53516388 1
< 0.1%
-27.4712925 1
< 0.1%
-27.24283791 1
< 0.1%
Value Count Frequency (%)
21.36289406 1
< 0.1%
20.47937012 1
< 0.1%
20.3376255 1
< 0.1%
20.08428764 1
< 0.1%
19.14876366 1
< 0.1%

feature_61
Real number (ℝ)

Distinct 1699
Distinct (%) 0.3%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.00516173286
Minimum -5.740418434
Maximum 5.746196747
Zeros 0
Zeros (%) 0.0%
Negative 244598
Negative (%) 48.9%
Memory size 1.9 MiB
2024-12-02T16:40:58.057514 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.740418434
5-th percentile -1.781732798
Q1 -0.7302504778
median 0.02655497007
Q3 0.7340961695
95-th percentile 1.813023806
Maximum 5.746196747
Range 11.48661518
Interquartile range (IQR) 1.464346647

Descriptive statistics

Standard deviation 1.100601315
Coefficient of variation (CV) 213.2232228
Kurtosis 1.579168558
Mean 0.00516173286
Median Absolute Deviation (MAD) 0.7273067832
Skewness -0.08763212711
Sum 2580.86643
Variance 1.211323142
Monotonicity Not monotonic
2024-12-02T16:40:58.167690 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.40097633 442
 
0.1%
-1.789921165 439
 
0.1%
-2.435647964 439
 
0.1%
-0.4481387138 429
 
0.1%
-0.4521654546 423
 
0.1%
1.534988046 421
 
0.1%
0.3004411161 420
 
0.1%
0.5683935881 419
 
0.1%
0.0883333236 419
 
0.1%
-0.466988802 416
 
0.1%
Other values (1689) 495733
99.1%
Value Count Frequency (%)
-5.740418434 299
0.1%
-5.383898258 283
0.1%
-5.383530617 301
0.1%
-5.049102783 237
< 0.1%
-3.34286499 287
0.1%
Value Count Frequency (%)
5.746196747 295
0.1%
5.267138481 217
< 0.1%
5.128539085 276
0.1%
2.817329645 271
0.1%
2.794187307 311
0.1%

feature_62
Real number (ℝ)

Missing  Skewed 

Distinct 489558
Distinct (%) 99.1%
Missing 6238
Missing (%) 1.2%
Infinite 0
Infinite (%) 0.0%
Mean -0.08611199429
Minimum -0.8962327838
Maximum 115.2619476
Zeros 0
Zeros (%) 0.0%
Negative 388666
Negative (%) 77.7%
Memory size 1.9 MiB
2024-12-02T16:40:58.278363 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.8962327838
5-th percentile -0.4957311317
Q1 -0.3746034727
median -0.2625999898
Q3 -0.05967938248
95-th percentile 0.7592209458
Maximum 115.2619476
Range 116.1581802
Interquartile range (IQR) 0.3149240902

Descriptive statistics

Standard deviation 1.002940059
Coefficient of variation (CV) -11.64692639
Kurtosis 1761.87561
Mean -0.08611199429
Median Absolute Deviation (MAD) 0.1366725564
Skewness 29.97069931
Sum -42518.83052
Variance 1.00588882
Monotonicity Not monotonic
2024-12-02T16:40:58.390868 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.361620903 3
 
< 0.1%
-0.2964376807 3
 
< 0.1%
-0.4869198501 3
 
< 0.1%
-0.3231196404 3
 
< 0.1%
-0.2661617696 3
 
< 0.1%
-0.2808390558 3
 
< 0.1%
-0.2883676589 3
 
< 0.1%
-0.3691809773 3
 
< 0.1%
-0.2121898681 3
 
< 0.1%
-0.2828533649 3
 
< 0.1%
Other values (489548) 493732
98.7%
(Missing) 6238
 
1.2%
Value Count Frequency (%)
-0.8962327838 1
< 0.1%
-0.8188912868 1
< 0.1%
-0.8178355694 1
< 0.1%
-0.8033072948 1
< 0.1%
-0.7927586436 1
< 0.1%
Value Count Frequency (%)
115.2619476 1
< 0.1%
112.9143143 1
< 0.1%
82.27253723 1
< 0.1%
75.39859772 1
< 0.1%
73.34760284 1
< 0.1%

feature_63
Real number (ℝ)

Skewed 

Distinct 490404
Distinct (%) 99.1%
Missing 4993
Missing (%) 1.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.0655842054
Minimum -0.7744330168
Maximum 95.24539948
Zeros 0
Zeros (%) 0.0%
Negative 390613
Negative (%) 78.1%
Memory size 1.9 MiB
2024-12-02T16:40:58.511458 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.7744330168
5-th percentile -0.4711607516
Q1 -0.3579434007
median -0.2593755424
Q3 -0.06693835557
95-th percentile 0.9546761096
Maximum 95.24539948
Range 96.0198288
Interquartile range (IQR) 0.2910050452

Descriptive statistics

Standard deviation 0.9779785872
Coefficient of variation (CV) -14.9118005
Kurtosis 1980.140503
Mean -0.0655842054
Median Absolute Deviation (MAD) 0.1227119267
Skewness 32.19271851
Sum -32464.64076
Variance 0.9564421177
Monotonicity Not monotonic
2024-12-02T16:40:58.627267 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3535873592 3
 
< 0.1%
-0.420766145 3
 
< 0.1%
-0.2770851851 3
 
< 0.1%
-0.3741232157 3
 
< 0.1%
-0.1489512324 3
 
< 0.1%
-0.3201582134 3
 
< 0.1%
-0.3288859725 3
 
< 0.1%
-0.3281931281 3
 
< 0.1%
-0.333290875 3
 
< 0.1%
-0.3577286303 3
 
< 0.1%
Other values (490394) 494977
99.0%
(Missing) 4993
 
1.0%
Value Count Frequency (%)
-0.7744330168 1
< 0.1%
-0.7677747607 1
< 0.1%
-0.7492356896 1
< 0.1%
-0.7341938019 1
< 0.1%
-0.7302031517 1
< 0.1%
Value Count Frequency (%)
95.24539948 1
< 0.1%
93.56259155 1
< 0.1%
92.083992 1
< 0.1%
84.56210327 1
< 0.1%
83.20788574 1
< 0.1%

feature_64
Real number (ℝ)

Missing  Skewed 

Distinct 490404
Distinct (%) 99.1%
Missing 5194
Missing (%) 1.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.07950924829
Minimum -0.81047225
Maximum 106.4730301
Zeros 0
Zeros (%) 0.0%
Negative 392693
Negative (%) 78.5%
Memory size 1.9 MiB
2024-12-02T16:40:58.739866 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.81047225
5-th percentile -0.4833193719
Q1 -0.3651372641
median -0.2605821639
Q3 -0.07074588165
95-th percentile 0.8439582139
Maximum 106.4730301
Range 107.2835007
Interquartile range (IQR) 0.2943913825

Descriptive statistics

Standard deviation 1.020696521
Coefficient of variation (CV) -12.83745656
Kurtosis 2346.319336
Mean -0.07950924829
Median Absolute Deviation (MAD) 0.1279046834
Skewness 36.0602684
Sum -39341.65311
Variance 1.041821361
Monotonicity Not monotonic
2024-12-02T16:40:58.847519 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3509946764 4
 
< 0.1%
-0.3327251673 3
 
< 0.1%
-0.3829993904 3
 
< 0.1%
-0.2586580515 3
 
< 0.1%
-0.2873927951 3
 
< 0.1%
-0.3347157538 3
 
< 0.1%
-0.337452054 3
 
< 0.1%
-0.3245644569 3
 
< 0.1%
-0.2801924348 3
 
< 0.1%
-0.445802778 3
 
< 0.1%
Other values (490394) 494775
99.0%
(Missing) 5194
 
1.0%
Value Count Frequency (%)
-0.81047225 1
< 0.1%
-0.8049470782 1
< 0.1%
-0.8040904403 1
< 0.1%
-0.7987563014 1
< 0.1%
-0.7984162569 1
< 0.1%
Value Count Frequency (%)
106.4730301 1
< 0.1%
94.08643341 1
< 0.1%
93.12186432 1
< 0.1%
92.4890976 1
< 0.1%
92.36316681 1
< 0.1%

feature_65
Real number (ℝ)

Missing 

Distinct 491751
Distinct (%) 99.7%
Missing 6620
Missing (%) 1.3%
Infinite 0
Infinite (%) 0.0%
Mean -0.008447614555
Minimum -4.089925766
Maximum 4.387120247
Zeros 0
Zeros (%) 0.0%
Negative 246662
Negative (%) 49.3%
Memory size 1.9 MiB
2024-12-02T16:40:58.964543 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.089925766
5-th percentile -1.733361441
Q1 -0.7171640098
median 0.000146292994
Q3 0.6919793189
95-th percentile 1.712694883
Maximum 4.387120247
Range 8.477046013
Interquartile range (IQR) 1.409143329

Descriptive statistics

Standard deviation 1.041174889
Coefficient of variation (CV) -123.250757
Kurtosis -0.09302913398
Mean -0.008447614555
Median Absolute Deviation (MAD) 0.7046586275
Skewness 0.02227488346
Sum -4167.884069
Variance 1.084045172
Monotonicity Not monotonic
2024-12-02T16:40:59.191435 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-1.145748496 3
 
< 0.1%
-0.774138093 3
 
< 0.1%
1.127454758 3
 
< 0.1%
-0.6458005309 3
 
< 0.1%
-0.7767317891 3
 
< 0.1%
-1.242111087 3
 
< 0.1%
1.274210811 2
 
< 0.1%
-1.041155219 2
 
< 0.1%
1.153815508 2
 
< 0.1%
0.595246613 2
 
< 0.1%
Other values (491741) 493354
98.7%
(Missing) 6620
 
1.3%
Value Count Frequency (%)
-4.089925766 1
< 0.1%
-4.06520462 1
< 0.1%
-3.948956251 1
< 0.1%
-3.903660297 1
< 0.1%
-3.893147945 1
< 0.1%
Value Count Frequency (%)
4.387120247 1
< 0.1%
4.327234745 1
< 0.1%
4.315822124 1
< 0.1%
4.212181091 1
< 0.1%
4.187857151 1
< 0.1%

feature_66
Real number (ℝ)

Missing 

Distinct 491701
Distinct (%) 99.7%
Missing 6620
Missing (%) 1.3%
Infinite 0
Infinite (%) 0.0%
Mean -0.01709661394
Minimum -5.239377022
Maximum 5.175296783
Zeros 0
Zeros (%) 0.0%
Negative 248786
Negative (%) 49.8%
Memory size 1.9 MiB
2024-12-02T16:40:59.301694 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.239377022
5-th percentile -1.796960491
Q1 -0.7241231799
median -0.01163499663
Q3 0.711141929
95-th percentile 1.700804877
Maximum 5.175296783
Range 10.41467381
Interquartile range (IQR) 1.435265109

Descriptive statistics

Standard deviation 1.05569458
Coefficient of variation (CV) -61.74875235
Kurtosis -0.1162812412
Mean -0.01709661394
Median Absolute Deviation (MAD) 0.7177811861
Skewness -0.01447695773
Sum -8435.127385
Variance 1.114491105
Monotonicity Not monotonic
2024-12-02T16:40:59.408645 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
0.8416976333 3
 
< 0.1%
1.471455812 3
 
< 0.1%
2.227699757 3
 
< 0.1%
-0.6218082309 3
 
< 0.1%
-1.82515955 3
 
< 0.1%
-1.416715503 2
 
< 0.1%
1.040028095 2
 
< 0.1%
-1.750712395 2
 
< 0.1%
-1.494316459 2
 
< 0.1%
1.155882597 2
 
< 0.1%
Other values (491691) 493355
98.7%
(Missing) 6620
 
1.3%
Value Count Frequency (%)
-5.239377022 1
< 0.1%
-5.154914379 1
< 0.1%
-4.246152401 1
< 0.1%
-4.101759911 1
< 0.1%
-4.0982728 1
< 0.1%
Value Count Frequency (%)
5.175296783 1
< 0.1%
4.838216305 1
< 0.1%
4.710514069 1
< 0.1%
4.589918613 1
< 0.1%
4.574469566 1
< 0.1%

feature_67
Real number (ℝ)

Distinct 497402
Distinct (%) 99.5%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02972731263
Minimum -1.518058062
Maximum 59.4162178
Zeros 0
Zeros (%) 0.0%
Negative 340317
Negative (%) 68.1%
Memory size 1.9 MiB
2024-12-02T16:40:59.511742 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.518058062
5-th percentile -0.7784948289
Q1 -0.4928756654
median -0.2450717017
Q3 0.1418052949
95-th percentile 1.363550895
Maximum 59.4162178
Range 60.93427658
Interquartile range (IQR) 0.6346809603

Descriptive statistics

Standard deviation 0.9355708957
Coefficient of variation (CV) -31.47176158
Kurtosis 191.9777374
Mean -0.02972731263
Median Absolute Deviation (MAD) 0.2934348285
Skewness 8.144809723
Sum -14863.65632
Variance 0.8752928972
Monotonicity Not monotonic
2024-12-02T16:40:59.621753 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3325758278 3
 
< 0.1%
-0.5683552623 3
 
< 0.1%
-0.7477575541 3
 
< 0.1%
-0.1574694812 3
 
< 0.1%
-0.5357806087 3
 
< 0.1%
-0.519651711 3
 
< 0.1%
-0.5899948478 3
 
< 0.1%
-0.594078958 3
 
< 0.1%
-0.337479651 3
 
< 0.1%
-0.2043191493 3
 
< 0.1%
Other values (497392) 499970
> 99.9%
Value Count Frequency (%)
-1.518058062 1
< 0.1%
-1.485026836 1
< 0.1%
-1.482941031 1
< 0.1%
-1.479780674 1
< 0.1%
-1.447813869 1
< 0.1%
Value Count Frequency (%)
59.4162178 1
< 0.1%
57.42461395 1
< 0.1%
46.63329697 1
< 0.1%
38.26275253 1
< 0.1%
35.59085464 1
< 0.1%

feature_68
Real number (ℝ)

Distinct 495483
Distinct (%) 99.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01515416507
Minimum -0.6910665035
Maximum 74.66550446
Zeros 0
Zeros (%) 0.0%
Negative 381988
Negative (%) 76.4%
Memory size 1.9 MiB
2024-12-02T16:40:59.728521 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.6910665035
5-th percentile -0.4298082963
Q1 -0.3298675269
median -0.2323057503
Q3 -0.02278394951
95-th percentile 1.01980297
Maximum 74.66550446
Range 75.35656738
Interquartile range (IQR) 0.3070835774

Descriptive statistics

Standard deviation 0.9172605872
Coefficient of variation (CV) -60.52861264
Kurtosis 607.4494629
Mean -0.01515416507
Median Absolute Deviation (MAD) 0.1237952709
Skewness 15.77210045
Sum -7577.082534
Variance 0.8413669467
Monotonicity Not monotonic
2024-12-02T16:40:59.842867 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.330825001 4
 
< 0.1%
-0.08815199137 3
 
< 0.1%
-0.3587501049 3
 
< 0.1%
-0.3304030895 3
 
< 0.1%
-0.2597807348 3
 
< 0.1%
-0.2891060412 3
 
< 0.1%
-0.3111730814 3
 
< 0.1%
-0.3045497835 3
 
< 0.1%
-0.3081056774 3
 
< 0.1%
-0.2872422934 3
 
< 0.1%
Other values (495473) 499969
> 99.9%
Value Count Frequency (%)
-0.6910665035 1
< 0.1%
-0.6755949855 1
< 0.1%
-0.6642411351 1
< 0.1%
-0.6609393954 1
< 0.1%
-0.6525140405 1
< 0.1%
Value Count Frequency (%)
74.66550446 1
< 0.1%
74.00405121 1
< 0.1%
69.38035583 1
< 0.1%
59.41283417 1
< 0.1%
57.66990662 1
< 0.1%

feature_69
Real number (ℝ)

Distinct 496913
Distinct (%) 99.4%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02563716614
Minimum -1.145098567
Maximum 42.56755447
Zeros 0
Zeros (%) 0.0%
Negative 355221
Negative (%) 71.0%
Memory size 1.9 MiB
2024-12-02T16:40:59.948294 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.145098567
5-th percentile -0.6437826484
Q1 -0.4437179863
median -0.2543320805
Q3 0.07699363865
95-th percentile 1.278161514
Maximum 42.56755447
Range 43.71265411
Interquartile range (IQR) 0.520711625

Descriptive statistics

Standard deviation 0.9245492816
Coefficient of variation (CV) -36.06285018
Kurtosis 175.2315674
Mean -0.02563716614
Median Absolute Deviation (MAD) 0.2304907143
Skewness 8.83826828
Sum -12818.58307
Variance 0.8547913432
Monotonicity Not monotonic
2024-12-02T16:41:00.066704 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.2429181784 3
 
< 0.1%
-0.3720396459 3
 
< 0.1%
-0.4993833005 3
 
< 0.1%
-0.3994910419 3
 
< 0.1%
-0.5950112939 3
 
< 0.1%
-0.2670319676 3
 
< 0.1%
-0.5159968734 3
 
< 0.1%
-0.5249070525 3
 
< 0.1%
-0.3349508643 3
 
< 0.1%
-0.3393483758 3
 
< 0.1%
Other values (496903) 499970
> 99.9%
Value Count Frequency (%)
-1.145098567 1
< 0.1%
-1.143526912 1
< 0.1%
-1.13634038 1
< 0.1%
-1.126946092 1
< 0.1%
-1.103339314 1
< 0.1%
Value Count Frequency (%)
42.56755447 1
< 0.1%
37.98312378 1
< 0.1%
37.7248497 1
< 0.1%
36.68976593 1
< 0.1%
36.34023666 1
< 0.1%

feature_70
Real number (ℝ)

Distinct 497668
Distinct (%) 99.5%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02314988928
Minimum -1.657984734
Maximum 104.8653946
Zeros 0
Zeros (%) 0.0%
Negative 329331
Negative (%) 65.9%
Memory size 1.9 MiB
2024-12-02T16:41:00.177362 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.657984734
5-th percentile -0.8376096129
Q1 -0.504281491
median -0.2246547118
Q3 0.1870755553
95-th percentile 1.389080894
Maximum 104.8653946
Range 106.5233765
Interquartile range (IQR) 0.6913570464

Descriptive statistics

Standard deviation 0.9658790827
Coefficient of variation (CV) -41.72283812
Kurtosis 618.6615601
Mean -0.02314988928
Median Absolute Deviation (MAD) 0.325296402
Skewness 12.128088
Sum -11574.94464
Variance 0.9329224229
Monotonicity Not monotonic
2024-12-02T16:41:00.291613 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.4245936573 3
 
< 0.1%
-0.5198664665 3
 
< 0.1%
-0.6946694851 3
 
< 0.1%
-0.3272516131 3
 
< 0.1%
-0.6260743737 3
 
< 0.1%
-0.6091580391 3
 
< 0.1%
-0.4981968999 3
 
< 0.1%
-0.5565288067 3
 
< 0.1%
-0.4927867055 3
 
< 0.1%
-0.5328782201 3
 
< 0.1%
Other values (497658) 499970
> 99.9%
Value Count Frequency (%)
-1.657984734 1
< 0.1%
-1.650858045 1
< 0.1%
-1.647405028 1
< 0.1%
-1.617055416 1
< 0.1%
-1.607486844 1
< 0.1%
Value Count Frequency (%)
104.8653946 1
< 0.1%
79.93502808 1
< 0.1%
74.78883362 1
< 0.1%
56.33507538 1
< 0.1%
49.44590378 1
< 0.1%

feature_71
Real number (ℝ)

Distinct 495927
Distinct (%) 99.2%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01426763512
Minimum -0.7695827484
Maximum 107.9453964
Zeros 0
Zeros (%) 0.0%
Negative 372285
Negative (%) 74.5%
Memory size 1.9 MiB
2024-12-02T16:41:00.401598 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -0.7695827484
5-th percentile -0.4728431299
Q1 -0.3592059016
median -0.2437712476
Q3 0.009520274587
95-th percentile 1.125494063
Maximum 107.9453964
Range 108.7149811
Interquartile range (IQR) 0.3687261762

Descriptive statistics

Standard deviation 0.9112635851
Coefficient of variation (CV) -63.8692802
Kurtosis 856.9317627
Mean -0.01426763512
Median Absolute Deviation (MAD) 0.146925509
Skewness 16.25797081
Sum -7133.817559
Variance 0.8304013014
Monotonicity Not monotonic
2024-12-02T16:41:00.515519 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.4057371318 3
 
< 0.1%
-0.291416198 3
 
< 0.1%
-0.271353364 3
 
< 0.1%
-0.3514285684 3
 
< 0.1%
-0.4480193853 3
 
< 0.1%
-0.4632839262 3
 
< 0.1%
-0.304284215 3
 
< 0.1%
-0.3304582834 3
 
< 0.1%
-0.3130469322 3
 
< 0.1%
-0.260624975 3
 
< 0.1%
Other values (495917) 499970
> 99.9%
Value Count Frequency (%)
-0.7695827484 1
< 0.1%
-0.7281848788 1
< 0.1%
-0.7207092643 1
< 0.1%
-0.7169126868 1
< 0.1%
-0.7167489529 1
< 0.1%
Value Count Frequency (%)
107.9453964 1
< 0.1%
84.40773773 1
< 0.1%
63.61585999 1
< 0.1%
57.12475967 1
< 0.1%
51.87563705 1
< 0.1%

feature_72
Real number (ℝ)

Distinct 497342
Distinct (%) 99.5%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.02328127769
Minimum -1.292772412
Maximum 66.9916687
Zeros 0
Zeros (%) 0.0%
Negative 342484
Negative (%) 68.5%
Memory size 1.9 MiB
2024-12-02T16:41:00.624672 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -1.292772412
5-th percentile -0.7238725126
Q1 -0.4829404056
median -0.2514910698
Q3 0.1356615052
95-th percentile 1.355989194
Maximum 66.9916687
Range 68.28443909
Interquartile range (IQR) 0.6186019108

Descriptive statistics

Standard deviation 0.950481236
Coefficient of variation (CV) -40.8259911
Kurtosis 345.4804077
Mean -0.02328127769
Median Absolute Deviation (MAD) 0.2779940069
Skewness 10.53577518
Sum -11640.63885
Variance 0.9034145474
Monotonicity Not monotonic
2024-12-02T16:41:00.738549 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.5638284683 3
 
< 0.1%
-0.538838625 3
 
< 0.1%
-0.5179694295 3
 
< 0.1%
-0.5141017437 3
 
< 0.1%
-0.3536393642 3
 
< 0.1%
-0.4102894664 3
 
< 0.1%
-0.4127993882 3
 
< 0.1%
-0.2668160796 3
 
< 0.1%
-0.6981689334 3
 
< 0.1%
-0.4070758224 3
 
< 0.1%
Other values (497332) 499970
> 99.9%
Value Count Frequency (%)
-1.292772412 1
< 0.1%
-1.262193918 1
< 0.1%
-1.220781207 1
< 0.1%
-1.209953904 1
< 0.1%
-1.209375381 1
< 0.1%
Value Count Frequency (%)
66.9916687 1
< 0.1%
66.85527039 1
< 0.1%
62.8536644 1
< 0.1%
49.29683685 1
< 0.1%
48.97442245 1
< 0.1%

feature_73
Real number (ℝ)

Missing 

Distinct 491217
Distinct (%) 99.3%
Missing 5250
Missing (%) 1.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.02043329809
Minimum -5.427286148
Maximum 84.77339172
Zeros 0
Zeros (%) 0.0%
Negative 355778
Negative (%) 71.2%
Memory size 1.9 MiB
2024-12-02T16:41:00.856774 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.427286148
5-th percentile -0.5300621986
Q1 -0.3450559303
median -0.2291589826
Q3 0.05631912407
95-th percentile 1.185645741
Maximum 84.77339172
Range 90.20067596
Interquartile range (IQR) 0.4013750544

Descriptive statistics

Standard deviation 0.9413125515
Coefficient of variation (CV) -46.06757789
Kurtosis 451.5701904
Mean -0.02043329809
Median Absolute Deviation (MAD) 0.1543804854
Skewness 11.09176445
Sum -10109.37423
Variance 0.8860693574
Monotonicity Not monotonic
2024-12-02T16:41:00.966842 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3244983852 4
 
< 0.1%
-0.3423794508 3
 
< 0.1%
-0.3708281219 3
 
< 0.1%
-0.3002778292 3
 
< 0.1%
-0.3170800805 3
 
< 0.1%
-0.3439488709 3
 
< 0.1%
-0.2604186535 3
 
< 0.1%
-0.290576309 3
 
< 0.1%
-0.2897709608 3
 
< 0.1%
-0.3491443992 3
 
< 0.1%
Other values (491207) 494719
98.9%
(Missing) 5250
 
1.1%
Value Count Frequency (%)
-5.427286148 1
< 0.1%
-5.181833744 1
< 0.1%
-5.158521652 1
< 0.1%
-5.143508434 1
< 0.1%
-5.046190739 1
< 0.1%
Value Count Frequency (%)
84.77339172 1
< 0.1%
77.1866684 1
< 0.1%
55.9588089 1
< 0.1%
53.28409195 1
< 0.1%
52.59580231 1
< 0.1%

feature_74
Real number (ℝ)

Missing 

Distinct 491723
Distinct (%) 99.4%
Missing 5250
Missing (%) 1.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.02532161294
Minimum -5.734827518
Maximum 77.26641083
Zeros 0
Zeros (%) 0.0%
Negative 354874
Negative (%) 71.0%
Memory size 1.9 MiB
2024-12-02T16:41:01.077405 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.734827518
5-th percentile -0.5937586874
Q1 -0.3497110829
median -0.2202540934
Q3 0.05850394722
95-th percentile 1.179049212
Maximum 77.26641083
Range 83.00123596
Interquartile range (IQR) 0.4082150301

Descriptive statistics

Standard deviation 0.9293854237
Coefficient of variation (CV) -36.70324738
Kurtosis 399.875061
Mean -0.02532161294
Median Absolute Deviation (MAD) 0.1687518656
Skewness 10.69599342
Sum -12527.868
Variance 0.8637572527
Monotonicity Not monotonic
2024-12-02T16:41:01.178413 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3572487831 4
 
< 0.1%
-0.2603003383 3
 
< 0.1%
-0.307697624 3
 
< 0.1%
-0.2863532901 3
 
< 0.1%
-0.2631205022 3
 
< 0.1%
-0.4036790133 3
 
< 0.1%
-0.4962977767 3
 
< 0.1%
-0.2724300921 3
 
< 0.1%
-0.4244645238 3
 
< 0.1%
-0.2215416431 3
 
< 0.1%
Other values (491713) 494719
98.9%
(Missing) 5250
 
1.1%
Value Count Frequency (%)
-5.734827518 1
< 0.1%
-5.091740131 1
< 0.1%
-5.04020834 1
< 0.1%
-5.032945156 1
< 0.1%
-4.896776199 1
< 0.1%
Value Count Frequency (%)
77.26641083 1
< 0.1%
64.76274109 1
< 0.1%
62.39800644 1
< 0.1%
57.53539276 1
< 0.1%
52.04507446 1
< 0.1%

feature_75
Real number (ℝ)

Distinct 494129
Distinct (%) 98.9%
Missing 485
Missing (%) 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.00759695925
Minimum -4.915370941
Maximum 61.35074997
Zeros 0
Zeros (%) 0.0%
Negative 383251
Negative (%) 76.7%
Memory size 1.9 MiB
2024-12-02T16:41:01.287472 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.915370941
5-th percentile -0.7097616136
Q1 -0.2940982133
median -0.2301253676
Q3 -0.04204188101
95-th percentile 1.532121313
Maximum 61.35074997
Range 66.26612091
Interquartile range (IQR) 0.2520563323

Descriptive statistics

Standard deviation 0.9464839697
Coefficient of variation (CV) -124.5872116
Kurtosis 222.6607971
Mean -0.00759695925
Median Absolute Deviation (MAD) 0.08490458131
Skewness 7.837985992
Sum -3794.7951
Variance 0.895831883
Monotonicity Not monotonic
2024-12-02T16:41:01.392000 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.2992818952 5
 
< 0.1%
-0.2666839361 4
 
< 0.1%
-0.260532707 3
 
< 0.1%
-0.3394234478 3
 
< 0.1%
-0.2976205945 3
 
< 0.1%
-0.2790267169 3
 
< 0.1%
-0.2766506672 3
 
< 0.1%
-0.2684449852 3
 
< 0.1%
-0.297890842 3
 
< 0.1%
-0.3202140033 3
 
< 0.1%
Other values (494119) 499482
99.9%
(Missing) 485
 
0.1%
Value Count Frequency (%)
-4.915370941 1
< 0.1%
-4.785624027 1
< 0.1%
-4.65142107 1
< 0.1%
-4.565448761 1
< 0.1%
-4.458371162 1
< 0.1%
Value Count Frequency (%)
61.35074997 1
< 0.1%
58.91540527 1
< 0.1%
57.0326767 1
< 0.1%
56.47732544 1
< 0.1%
47.51197433 1
< 0.1%

feature_76
Real number (ℝ)

Distinct 495405
Distinct (%) 99.2%
Missing 485
Missing (%) 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.01153207868
Minimum -5.18081522
Maximum 80.11870575
Zeros 0
Zeros (%) 0.0%
Negative 382795
Negative (%) 76.6%
Memory size 1.9 MiB
2024-12-02T16:41:01.506422 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5.18081522
5-th percentile -0.7077126741
Q1 -0.3047411442
median -0.2202863544
Q3 -0.03679475188
95-th percentile 1.514422274
Maximum 80.11870575
Range 85.2995224
Interquartile range (IQR) 0.2679463923

Descriptive statistics

Standard deviation 0.9458261728
Coefficient of variation (CV) -82.01697187
Kurtosis 349.5660706
Mean -0.01153207868
Median Absolute Deviation (MAD) 0.1072821468
Skewness 9.180851936
Sum -5760.446283
Variance 0.8945871592
Monotonicity Not monotonic
2024-12-02T16:41:01.616717 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3154907823 3
 
< 0.1%
-0.2707948387 3
 
< 0.1%
-0.2951481342 3
 
< 0.1%
-0.2415983826 3
 
< 0.1%
-0.304825455 3
 
< 0.1%
-0.2128956616 3
 
< 0.1%
-0.3766477704 3
 
< 0.1%
-0.2095188051 3
 
< 0.1%
-0.3756688237 3
 
< 0.1%
-0.344941467 3
 
< 0.1%
Other values (495395) 499485
99.9%
(Missing) 485
 
0.1%
Value Count Frequency (%)
-5.18081522 1
< 0.1%
-4.820067883 1
< 0.1%
-4.760148525 1
< 0.1%
-4.627500534 1
< 0.1%
-4.389015675 1
< 0.1%
Value Count Frequency (%)
80.11870575 1
< 0.1%
71.34975433 1
< 0.1%
63.21208954 1
< 0.1%
57.71630478 1
< 0.1%
46.13508606 1
< 0.1%

feature_77
Real number (ℝ)

Distinct 495765
Distinct (%) 99.2%
Missing 155
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.011995218
Minimum -4.420845985
Maximum 88.96417236
Zeros 0
Zeros (%) 0.0%
Negative 364617
Negative (%) 72.9%
Memory size 1.9 MiB
2024-12-02T16:41:01.847267 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.420845985
5-th percentile -0.5416585922
Q1 -0.300685674
median -0.2105787098
Q3 0.03702617437
95-th percentile 1.162076235
Maximum 88.96417236
Range 93.3850174
Interquartile range (IQR) 0.3377118483

Descriptive statistics

Standard deviation 0.9342361093
Coefficient of variation (CV) -77.8840459
Kurtosis 692.9789429
Mean -0.011995218
Median Absolute Deviation (MAD) 0.1225871891
Skewness 14.64481735
Sum -5995.749741
Variance 0.8727971315
Monotonicity Not monotonic
2024-12-02T16:41:01.948464 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3493706584 3
 
< 0.1%
-0.3099343777 3
 
< 0.1%
-0.2608298957 3
 
< 0.1%
-0.2399998903 3
 
< 0.1%
-0.2862254381 3
 
< 0.1%
-0.2848470509 3
 
< 0.1%
-0.3621714115 3
 
< 0.1%
-0.2506775558 3
 
< 0.1%
-0.290174067 3
 
< 0.1%
-0.2628785968 3
 
< 0.1%
Other values (495755) 499815
> 99.9%
(Missing) 155
 
< 0.1%
Value Count Frequency (%)
-4.420845985 1
< 0.1%
-4.413516521 1
< 0.1%
-4.32698822 1
< 0.1%
-4.305765629 1
< 0.1%
-4.284601212 1
< 0.1%
Value Count Frequency (%)
88.96417236 1
< 0.1%
74.36181641 1
< 0.1%
72.3510437 1
< 0.1%
62.23090363 1
< 0.1%
60.54334259 1
< 0.1%

feature_78
Real number (ℝ)

Distinct 496582
Distinct (%) 99.3%
Missing 155
Missing (%) < 0.1%
Infinite 0
Infinite (%) 0.0%
Mean -0.01606418461
Minimum -4.947653294
Maximum 91.85790253
Zeros 0
Zeros (%) 0.0%
Negative 363626
Negative (%) 72.7%
Memory size 1.9 MiB
2024-12-02T16:41:02.059566 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -4.947653294
5-th percentile -0.5698330164
Q1 -0.3064562082
median -0.2009187639
Q3 0.0391327776
95-th percentile 1.148249984
Maximum 91.85790253
Range 96.80555725
Interquartile range (IQR) 0.3455889858

Descriptive statistics

Standard deviation 0.9268289208
Coefficient of variation (CV) -57.69536043
Kurtosis 861.4810181
Mean -0.01606418461
Median Absolute Deviation (MAD) 0.1389975846
Skewness 15.7828331
Sum -8029.602354
Variance 0.8590118289
Monotonicity Not monotonic
2024-12-02T16:41:02.160727 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-0.3026961982 3
 
< 0.1%
-0.272929877 3
 
< 0.1%
-0.3886649609 3
 
< 0.1%
-0.2501139045 3
 
< 0.1%
-0.2549674511 3
 
< 0.1%
-0.2771390378 3
 
< 0.1%
-0.3636361361 3
 
< 0.1%
-0.208139345 3
 
< 0.1%
-0.2501247525 3
 
< 0.1%
-0.3204465508 3
 
< 0.1%
Other values (496572) 499815
> 99.9%
(Missing) 155
 
< 0.1%
Value Count Frequency (%)
-4.947653294 1
< 0.1%
-4.574954033 1
< 0.1%
-4.543148518 1
< 0.1%
-4.481323719 1
< 0.1%
-4.455502987 1
< 0.1%
Value Count Frequency (%)
91.85790253 1
< 0.1%
89.84159088 1
< 0.1%
73.87252808 1
< 0.1%
69.41321564 1
< 0.1%
67.99324036 1
< 0.1%

responder_0
Real number (ℝ)

Distinct 497129
Distinct (%) 99.4%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.001239519799
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 253614
Negative (%) 50.7%
Memory size 1.9 MiB
2024-12-02T16:41:02.268662 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -0.7932513207
Q1 -0.1986890323
median -0.004230325343
Q3 0.1927174143
95-th percentile 0.801448828
Maximum 5
Range 10
Interquartile range (IQR) 0.3914064467

Descriptive statistics

Standard deviation 0.6493761539
Coefficient of variation (CV) 523.8933292
Kurtosis 19.53874779
Mean 0.001239519799
Median Absolute Deviation (MAD) 0.1956484616
Skewness 0.2552523613
Sum 619.7598994
Variance 0.4216893613
Monotonicity Not monotonic
2024-12-02T16:41:02.378592 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 925
 
0.2%
-5 768
 
0.2%
0.2874937057 3
 
< 0.1%
-0.1288841814 3
 
< 0.1%
0.1308853477 2
 
< 0.1%
0.2567590475 2
 
< 0.1%
-0.6495445967 2
 
< 0.1%
0.2569868267 2
 
< 0.1%
-0.148635447 2
 
< 0.1%
0.4804552794 2
 
< 0.1%
Other values (497119) 498289
99.7%
Value Count Frequency (%)
-5 768
0.2%
-4.997035503 1
 
< 0.1%
-4.988419533 1
 
< 0.1%
-4.985836506 1
 
< 0.1%
-4.978542328 1
 
< 0.1%
Value Count Frequency (%)
5 925
0.2%
4.999520302 1
 
< 0.1%
4.99789381 1
 
< 0.1%
4.997380257 1
 
< 0.1%
4.994907379 1
 
< 0.1%

responder_1
Real number (ℝ)

Distinct 496493
Distinct (%) 99.3%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.002200904295
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 273147
Negative (%) 54.6%
Memory size 1.9 MiB
2024-12-02T16:41:02.491835 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -0.7155282557
Q1 -0.1738579348
median -0.02328084875
Q3 0.1417766511
95-th percentile 0.8446688712
Maximum 5
Range 10
Interquartile range (IQR) 0.3156345859

Descriptive statistics

Standard deviation 0.6693944335
Coefficient of variation (CV) 304.1451803
Kurtosis 21.52461433
Mean 0.002200904295
Median Absolute Deviation (MAD) 0.1575321555
Skewness 0.3458566666
Sum 1100.452147
Variance 0.448088944
Monotonicity Not monotonic
2024-12-02T16:41:02.597380 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 1172
 
0.2%
-5 1103
 
0.2%
-0.07027182728 3
 
< 0.1%
-0.6736309528 2
 
< 0.1%
0.3841313422 2
 
< 0.1%
0.2163299769 2
 
< 0.1%
-0.2578560114 2
 
< 0.1%
0.1202418059 2
 
< 0.1%
0.0175471399 2
 
< 0.1%
0.06174531952 2
 
< 0.1%
Other values (496483) 497708
99.5%
Value Count Frequency (%)
-5 1103
0.2%
-4.997515202 1
 
< 0.1%
-4.99668932 1
 
< 0.1%
-4.996355534 1
 
< 0.1%
-4.991696835 1
 
< 0.1%
Value Count Frequency (%)
5 1172
0.2%
4.996864796 1
 
< 0.1%
4.996011257 1
 
< 0.1%
4.994628429 1
 
< 0.1%
4.990363121 1
 
< 0.1%

responder_2
Real number (ℝ)

Distinct 497579
Distinct (%) 99.5%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean 0.0007499721631
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 251402
Negative (%) 50.3%
Memory size 1.9 MiB
2024-12-02T16:41:02.711019 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -0.8499474645
Q1 -0.199448213
median -0.0008669286035
Q3 0.199832987
95-th percentile 0.8538282543
Maximum 5
Range 10
Interquartile range (IQR) 0.3992812

Descriptive statistics

Standard deviation 0.6497597694
Coefficient of variation (CV) 866.3785157
Kurtosis 16.44089127
Mean 0.0007499721631
Median Absolute Deviation (MAD) 0.1996147335
Skewness 0.03824864328
Sum 374.9860815
Variance 0.4221877456
Monotonicity Not monotonic
2024-12-02T16:41:02.817309 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 651
 
0.1%
-5 608
 
0.1%
-1.023880363 3
 
< 0.1%
-1.035889387 2
 
< 0.1%
0.2880328894 2
 
< 0.1%
0.0369197093 2
 
< 0.1%
-0.1452956051 2
 
< 0.1%
-0.5672619939 2
 
< 0.1%
0.3390828669 2
 
< 0.1%
0.5366707444 2
 
< 0.1%
Other values (497569) 498724
99.7%
Value Count Frequency (%)
-5 608
0.1%
-4.997421265 1
 
< 0.1%
-4.99395895 1
 
< 0.1%
-4.992968082 1
 
< 0.1%
-4.991105556 1
 
< 0.1%
Value Count Frequency (%)
5 651
0.1%
4.99802494 1
 
< 0.1%
4.991306782 1
 
< 0.1%
4.990686417 1
 
< 0.1%
4.986549377 1
 
< 0.1%

responder_3
Real number (ℝ)

Distinct 495325
Distinct (%) 99.1%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01301081126
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 262121
Negative (%) 52.4%
Memory size 1.9 MiB
2024-12-02T16:41:02.928364 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -1.14092086
Q1 -0.3218653873
median -0.02332271449
Q3 0.2789368778
95-th percentile 1.185632223
Maximum 5
Range 10
Interquartile range (IQR) 0.6008022651

Descriptive statistics

Standard deviation 0.8622366786
Coefficient of variation (CV) -66.27078522
Kurtosis 10.81594086
Mean -0.01301081126
Median Absolute Deviation (MAD) 0.3002905846
Skewness 0.04442944005
Sum -6505.40563
Variance 0.7434520721
Monotonicity Not monotonic
2024-12-02T16:41:03.038129 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-5 1819
 
0.4%
5 1598
 
0.3%
-0.6191147566 3
 
< 0.1%
-0.1688990444 2
 
< 0.1%
0.1858353913 2
 
< 0.1%
0.3484062552 2
 
< 0.1%
0.144324854 2
 
< 0.1%
0.3788509071 2
 
< 0.1%
-0.1214959696 2
 
< 0.1%
-0.1925417185 2
 
< 0.1%
Other values (495315) 496566
99.3%
Value Count Frequency (%)
-5 1819
0.4%
-4.999469757 1
 
< 0.1%
-4.998399258 1
 
< 0.1%
-4.993031979 1
 
< 0.1%
-4.983475685 1
 
< 0.1%
Value Count Frequency (%)
5 1598
0.3%
4.998671532 1
 
< 0.1%
4.996784687 1
 
< 0.1%
4.996132851 1
 
< 0.1%
4.990359306 1
 
< 0.1%

responder_4
Real number (ℝ)

Distinct 496524
Distinct (%) 99.3%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01007774013
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 267406
Negative (%) 53.5%
Memory size 1.9 MiB
2024-12-02T16:41:03.144103 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -1.280864429
Q1 -0.3961099461
median -0.041269131
Q3 0.3340839148
95-th percentile 1.393788952
Maximum 5
Range 10
Interquartile range (IQR) 0.7301938608

Descriptive statistics

Standard deviation 0.9147558212
Coefficient of variation (CV) -90.76993542
Kurtosis 7.116781712
Mean -0.01007774013
Median Absolute Deviation (MAD) 0.3646382093
Skewness 0.3420644999
Sum -5038.870067
Variance 0.8367782235
Monotonicity Not monotonic
2024-12-02T16:41:03.248510 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 1257
 
0.3%
-5 891
 
0.2%
-0.4516591728 3
 
< 0.1%
-0.4468171895 3
 
< 0.1%
1.240247846 3
 
< 0.1%
-1.365225315 2
 
< 0.1%
-0.5788282752 2
 
< 0.1%
-0.5652310848 2
 
< 0.1%
0.2172778696 2
 
< 0.1%
0.2040048689 2
 
< 0.1%
Other values (496514) 497833
99.6%
Value Count Frequency (%)
-5 891
0.2%
-4.999421597 1
 
< 0.1%
-4.998540401 1
 
< 0.1%
-4.998278618 1
 
< 0.1%
-4.996516705 1
 
< 0.1%
Value Count Frequency (%)
5 1257
0.3%
4.999819279 1
 
< 0.1%
4.997558117 1
 
< 0.1%
4.99328804 1
 
< 0.1%
4.993180752 1
 
< 0.1%

responder_5
Real number (ℝ)

Distinct 495015
Distinct (%) 99.0%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.01291244997
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 256666
Negative (%) 51.3%
Memory size 1.9 MiB
2024-12-02T16:41:03.357739 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -0.9490760684
Q1 -0.2294120342
median -0.007895500399
Q3 0.2083946168
95-th percentile 0.9417473763
Maximum 5
Range 10
Interquartile range (IQR) 0.437806651

Descriptive statistics

Standard deviation 0.7789622545
Coefficient of variation (CV) -60.326449
Kurtosis 16.67636871
Mean -0.01291244997
Median Absolute Deviation (MAD) 0.2189454734
Skewness -0.3002242148
Sum -6456.224984
Variance 0.606782198
Monotonicity Not monotonic
2024-12-02T16:41:03.461773 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
-5 2262
 
0.5%
5 1574
 
0.3%
-0.153345868 3
 
< 0.1%
-0.2644557953 2
 
< 0.1%
0.08755128086 2
 
< 0.1%
1.136407495 2
 
< 0.1%
-0.107591033 2
 
< 0.1%
0.0358924754 2
 
< 0.1%
-0.1133506671 2
 
< 0.1%
-0.06130585074 2
 
< 0.1%
Other values (495005) 496147
99.2%
Value Count Frequency (%)
-5 2262
0.5%
-4.996428013 1
 
< 0.1%
-4.99451828 1
 
< 0.1%
-4.993328094 1
 
< 0.1%
-4.989710331 1
 
< 0.1%
Value Count Frequency (%)
5 1574
0.3%
4.999503136 1
 
< 0.1%
4.998015881 1
 
< 0.1%
4.997941971 1
 
< 0.1%
4.99723959 1
 
< 0.1%

responder_6
Real number (ℝ)

Distinct 497137
Distinct (%) 99.4%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.003748458143
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 260241
Negative (%) 52.0%
Memory size 1.9 MiB
2024-12-02T16:41:03.574875 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -1.300396109
Q1 -0.3879461288
median -0.02423908375
Q3 0.3408286944
95-th percentile 1.380302727
Maximum 5
Range 10
Interquartile range (IQR) 0.7287748232

Descriptive statistics

Standard deviation 0.8981897831
Coefficient of variation (CV) -239.6157964
Kurtosis 6.65515089
Mean -0.003748458143
Median Absolute Deviation (MAD) 0.364461422
Skewness 0.3776444495
Sum -1874.229071
Variance 0.8067449331
Monotonicity Not monotonic
2024-12-02T16:41:03.682837 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 1047
 
0.2%
-5 575
 
0.1%
-0.2892088592 3
 
< 0.1%
0.340927422 3
 
< 0.1%
-0.7741680741 2
 
< 0.1%
0.4477905631 2
 
< 0.1%
-0.3218865991 2
 
< 0.1%
0.1374018937 2
 
< 0.1%
0.5113856792 2
 
< 0.1%
-0.4339882731 2
 
< 0.1%
Other values (497127) 498360
99.7%
Value Count Frequency (%)
-5 575
0.1%
-4.997792721 1
 
< 0.1%
-4.994760036 1
 
< 0.1%
-4.993255138 1
 
< 0.1%
-4.992311478 1
 
< 0.1%
Value Count Frequency (%)
5 1047
0.2%
4.999896526 1
 
< 0.1%
4.999763966 1
 
< 0.1%
4.99559021 1
 
< 0.1%
4.9933424 1
 
< 0.1%

responder_7
Real number (ℝ)

Distinct 497183
Distinct (%) 99.4%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.001823101733
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 264623
Negative (%) 52.9%
Memory size 1.9 MiB
2024-12-02T16:41:03.788517 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -1.331236011
Q1 -0.4222460091
median -0.03742452525
Q3 0.3604874387
95-th percentile 1.475276977
Maximum 5
Range 10
Interquartile range (IQR) 0.7827334478

Descriptive statistics

Standard deviation 0.9210367203
Coefficient of variation (CV) -505.20314
Kurtosis 5.621315479
Mean -0.001823101733
Median Absolute Deviation (MAD) 0.3911035657
Skewness 0.5047574639
Sum -911.5508667
Variance 0.8483086228
Monotonicity Not monotonic
2024-12-02T16:41:03.897742 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 969
 
0.2%
-5 445
 
0.1%
-0.5333204269 3
 
< 0.1%
-0.6330812573 3
 
< 0.1%
-0.295180589 3
 
< 0.1%
-0.5711286664 3
 
< 0.1%
0.42085132 2
 
< 0.1%
0.6876456141 2
 
< 0.1%
-0.3462684751 2
 
< 0.1%
0.66296345 2
 
< 0.1%
Other values (497173) 498566
99.7%
Value Count Frequency (%)
-5 445
0.1%
-4.996434689 1
 
< 0.1%
-4.986904621 1
 
< 0.1%
-4.982795238 1
 
< 0.1%
-4.978724003 1
 
< 0.1%
Value Count Frequency (%)
5 969
0.2%
4.998623848 1
 
< 0.1%
4.998453617 1
 
< 0.1%
4.998007298 1
 
< 0.1%
4.997487068 1
 
< 0.1%

responder_8
Real number (ℝ)

Distinct 497047
Distinct (%) 99.4%
Missing 0
Missing (%) 0.0%
Infinite 0
Infinite (%) 0.0%
Mean -0.00161044512
Minimum -5
Maximum 5
Zeros 0
Zeros (%) 0.0%
Negative 253802
Negative (%) 50.8%
Memory size 1.9 MiB
2024-12-02T16:41:04.010005 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum -5
5-th percentile -1.27739954
Q1 -0.3351752087
median -0.007341049844
Q3 0.3146027923
95-th percentile 1.299707085
Maximum 5
Range 10
Interquartile range (IQR) 0.649778001

Descriptive statistics

Standard deviation 0.8752946258
Coefficient of variation (CV) -543.5109928
Kurtosis 7.642903328
Mean -0.00161044512
Median Absolute Deviation (MAD) 0.3248592615
Skewness 0.1878279448
Sum -805.2225598
Variance 0.7661406994
Monotonicity Not monotonic
2024-12-02T16:41:04.237327 image/svg+xml Matplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Value Count Frequency (%)
5 1014
 
0.2%
-5 755
 
0.2%
0.3915755451 3
 
< 0.1%
-0.1769114286 3
 
< 0.1%
-1.108997107 2
 
< 0.1%
1.685490131 2
 
< 0.1%
-0.1446152031 2
 
< 0.1%
0.3851295412 2
 
< 0.1%
-1.670576453 2
 
< 0.1%
-0.2087907344 2
 
< 0.1%
Other values (497037) 498213
99.6%
Value Count Frequency (%)
-5 755
0.2%
-4.996577263 1
 
< 0.1%
-4.996563911 1
 
< 0.1%
-4.995269775 1
 
< 0.1%
-4.994803905 1
 
< 0.1%
Value Count Frequency (%)
5 1014
0.2%
4.998559952 1
 
< 0.1%
4.997725964 1
 
< 0.1%
4.994663715 1
 
< 0.1%
4.992386341 1
 
< 0.1%